Nicolay Rusnachenko @nicolayr_ Twitter profile

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Nicolay Rusnachenko

13 hours

📢 Today @BU_Research as a part of the weekly research seminars, 👨‍🎓 Xibin Bayes Zhou presents an advances in Language Models application for Protein. 🧬 Apparently, application of Language models to protein similar to NLP 🧵1/n

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Nicolay Rusnachenko

@nicolayr_

7 months

Excited for the first day workshops and talks at #ecir2024

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Nicolay Rusnachenko

@nicolayr_

7 months

Let's be honest, arranging the @ecir2024 banquet at "Glasgow City Chambers" was a fabulous decision to say the least 🍷✨ #ecir2024

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Nicolay Rusnachenko

@nicolayr_

7 months

This week we present ARElight system aimed at memory-effective structuring collections of large texts @ecir2024 demo track 📜💻 Keynotes and materials: Github: Poster: #ecir2024 #arelight #nlp #ir #sampling #graphs

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Nicolay Rusnachenko

@nicolayr_

6 months

That's a 💎 milestone on better synthetic data preparation practices! Wondered of it's application towards the low-resourse-domian SFT 👀

Aran Komatsuzaki

@arankomatsuzaki

6 months

Better Synthetic Data by Retrieving and Transforming Existing Datasets repo: abs:

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Nicolay Rusnachenko

@nicolayr_

7 months

Thanks for the fabulous night and celebration!

ECIR2024

@ecir2024

7 months

🍽️ The banquet is beginning at #ECIR2024 ! Wishing everyone a fantastic evening filled with great food, laughter, and wonderful conversations! 🎉🥂

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Nicolay Rusnachenko

@nicolayr_

6 months

📢 Excited to share that our studies on LLMs reasoning capabilities in Target Sentiment Analysis are out 🎉 🧵1/n [More on finding highlights ...] #llm #reasoning #nlp #sentimentanalysis #cot #chainofthought #zeroshot #finetuning

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Nicolay Rusnachenko

@nicolayr_

6 months

So far experimented 🧪 with LLaVa 1.5 and Idefics 9B at scale and they are quite handy out-of-the-box 📦 Eventhough, it is nice to see even smaller versions are out, that based on most recent LLMs 👏👀

Prince Canuma

@Prince_Canuma

6 months

mlx-vlm v0.0.4 is here 🎉 New models 🤖: - Idefics 2 - Llava (Phi and Llama 3) Improvements 🚀: - Q4 quantisation support for all models - Less imports to use generate() Up next 🚧: - More models - Support for multiple images Please leave us a star and send a PR

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Nicolay Rusnachenko

@nicolayr_

5 months

@lucas__crespo Data leakage of course 🌊😎

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Nicolay Rusnachenko

@nicolayr_

5 months

These findings 👇 on (1) reliability in news articles and (2) in the language models application for generating writer ✍️ feedback generation from the angle of readers 👀📃 view through personalities" are 💎 to skim.

Hendrik Heuer

@hen_drik

5 months

Excited for our #CHI2024 contributions (1/2): Reliability Criteria for News Websites, 16 May, 11:30am Writer-Defined AI Personas for On-Demand Feedback Generation, 15 May, 2:00pm #CAISontour

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Nicolay Rusnachenko

@nicolayr_

7 months

It is nice too see a small step towards the target-oriented LLM adaptation from the prospect of retrieval augmenting techniques and enhanced end-to-end adaptation of 🥞: (I) knowledge (ii) passages (iii) LLM

Contextual AI

@ContextualAI

7 months

Today, we’re excited to announce RAG 2.0, our end-to-end system for developing production-grade AI. Using RAG 2.0, we’ve created Contextual Language Models (CLMs), which achieve state-of-the-art performance on a variety of industry benchmarks. CLMs outperform strong RAG

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Nicolay Rusnachenko

@nicolayr_

7 months

@stevenhoi @hypergai Nice to see you publicly contribute to Multimodal AI advances, and LLM in particular 👏

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Nicolay Rusnachenko

@nicolayr_

2 months

@rohanpaul_ai Have to admit that the prompt concepts, and at first glance, seemed to be outer this world 🤯🤔👏✨

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Nicolay Rusnachenko

@nicolayr_

7 months

Text2Story workshop opener at #ecir2024 shares a handy methodology aligned studies for processing large texts such as books 📚 aimed at narratives extraction #nlp #story #books #narratives

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Nicolay Rusnachenko

@nicolayr_

6 months

@alan_karthi Well done and thank you for sharing this technical report! 👏 I believe that the access to the Med-Gemini is restricted due to the specifics for the medical domain as well as the result LLM. Nonetheless, is Med-Gemini available for chatting and under which license of so?

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Nicolay Rusnachenko

@nicolayr_

3 months

@LauraRuis @akbirkhan @danvalentine256 @McHughes288 Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

4 months

📢 Excited to share the details of our submission🥉 @SemEvalWorkshop Track-3, which is based on CoT reasoning 🧠 with Flan-T5 🤖, as a part of self-titled nicolay-r 📜. Due to remote avalablity at #NAACL2024 , presenting it by breaking down the system highlights here 👇 🧵1/n

SemEval

@SemEvalWorkshop

4 months

@SemEvalWorkshop 2024 starts tomorrow! Check out our exciting lineup of 65 posters and 10 talks here: Don’t miss our invited talks by @hengjinlp (with @_starsem ) and @andre_t_martins ! #mexico @naaclmeeting @shashwatup9k @harish @seirasto @giodsm

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Nicolay Rusnachenko

@nicolayr_

5 months

The most recent OmniFusion VLLM in which authors adopt merging-features for CLIP-ViT-L and DINOv2 was such an impressive 🔥 and powered by Mistral-7B. This makes me wonder, how far the another 💎 concept for images encoding 👇that involves MoE goes ... 👀

merve

@mervenoyann

5 months

it's raining vision language models ☔️ CuMo is a new vision language model that has MoE in every step of the VLM (image encoder, MLP and text decoder) and uses Mistral-7B for the decoder part 🤓

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Nicolay Rusnachenko

@nicolayr_

6 months

Such tools like this end up becoming a swiss knife for deeper understanding and looking 👀 on how one LLM differs from other 💎

Karen Hambardzumyan

@mahnerak

6 months

[1/7] 🚀 Introducing the Language Model Transparency Tool - an open-source interactive toolkit for analyzing Transformer-based language models. We can't wait to see how the community will use this tool!

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Nicolay Rusnachenko

@nicolayr_

1 month

@inesmcunha @sebjbauer @EmmaLatron @GriffieJuliette 👏

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Nicolay Rusnachenko

@nicolayr_

6 months

@Leik0w0 @Prince_Canuma Interesting! ... any other prospects on necessity of quantized siglip besides its adaptation for Moondream tiny VLLM?

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Nicolay Rusnachenko

@nicolayr_

4 months

@docchipinti8 @serrasinem @m_guerini Mentioned your work there as the most closest studies to what we did at @UniofNewcastle so far

@nicolay-r on Hugging Face: "📢 Suprisingly, there are so many works on imputing personalities in...

huggingface.co

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Nicolay Rusnachenko

@nicolayr_

6 months

@burkov Notably, the generated one tends to be verbosely commented so that skimming through comments for the brief sure of it's correctness

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Nicolay Rusnachenko

@nicolayr_

9 months

@drivelinekyle @abacaj This template varies from task to task, but the impelementation on torch is pretty much is similar. My personal experience is sentiment analysis, so I can recommend:

GitHub - scofield7419/THOR-ISA: Codes for ACL 2023 paper: Reasoning Implicit Sentiment with...

Codes for ACL 2023 paper: Reasoning Implicit Sentiment with Chain-of-Thought Prompting - scofield7419/THOR-ISA

github.com

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Nicolay Rusnachenko

@nicolayr_

7 months

@omarsar0 After a brief paper skimming of the main figure, the ranking idea finds me in such a unique way of reasoning enhancing. Thanks for sharing 👏

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Nicolay Rusnachenko

@nicolayr_

6 months

@bindureddy Thanks for sharing it! 👏👀

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Nicolay Rusnachenko

@nicolayr_

4 months

🤔 Coming to this from the prospect of IR from large textual data, becoming wondered on how it would be interesting to see such a forecasting for extracted stories (series of events) from literature novel books 📚

Chenchen Ye

@chenchenye_ccye

4 months

📢New LLM Agents Benchmark! Introducing 🌟MIRAI🌟: A groundbreaking benchmark crafted for evaluating LLM agents in temporal forecasting of international events with tool use and complex reasoning! 📜 Arxiv: 🔗 Project page: 🧵1/N

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Nicolay Rusnachenko

@nicolayr_

5 months

@HongyiWang10 @RutgersCS Congratulations, all the best on the Assistant Professor role 👏✨

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Nicolay Rusnachenko

@nicolayr_

7 months

@_kire_kara_ @barbara_plank @IAugenstein Congratulations, well done! 👏

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Nicolay Rusnachenko

@nicolayr_

2 months

@zouharvi Brilliant idea with cards that showcase the contribution and experiments outcome 👏

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Nicolay Rusnachenko

@nicolayr_

2 months

@HopeYanxu Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

6 months

@yuqirose Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

2 months

📢Research presentation alert🚨 Nearly in 20 days ready to share personal findings in LLMs application for reasoning 🧠 in sentiment analysis task. Inviting everyone to my talk, feel free to join the the event 🙌 Useful links: ⭐️ 📜

Large Language Models in Targeted Sentiment Analysis

In this paper we investigate the use of decoder-based generative transformers for extracting sentiment towards the named entities in Russian news articles. We study sentiment analysis capabilities...

arxiv.org

JohnSnowLabs

@JohnSnowLabs

3 months

Nicolay Rusnachenko from Bournemouth University will be presenting at our #NLPSummit 2024! 🌟 Register now: #GenerativeAI #HealthcareAI #MedicalLLMs #nlp #naturallanguageprocessing   #DataScience #DataEngineering #DataAnalysis #DataInsights

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Nicolay Rusnachenko

@nicolayr_

5 months

@Mai_Mahmoud_ Congratulations, Phinally Done! 👏

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Nicolay Rusnachenko

@nicolayr_

7 months

@cpt_harv @selina_mey @delsweil Well done, joining with the congratulations!

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Nicolay Rusnachenko

@nicolayr_

1 year

It was always encouraging to see how high academia compete in scientific advances, while even more amazing to see that in sports! 🔥 💪 💪 💪 🚣‍♀️ 🚣‍♂️ 🛶 Yes, and nowadays it is still possible to see such traninings at Hammersmith quayside in London! 🔥

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Nicolay Rusnachenko

@nicolayr_

4 months

@SemEvalWorkshop our 🛠️ reforged 🛠️ version of the THoR which has: ✅1. Adapted prompts for Emotions Extraction ✅2. Implemented Reasoning-Revision 🧠 ✅3. GoogleColab launch notebook (details in further posts 🧵) ⭐️Github: 🧵 4/n #NAACL2024

GitHub - nicolay-r/THOR-ECAC: The official fork of THoR Chain-of-Thought framework, enhanced and...

The official fork of THoR Chain-of-Thought framework, enhanced and adapted for Emotion Cause Analysis (ECAC-2024) - nicolay-r/THOR-ECAC

github.com

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Nicolay Rusnachenko

@nicolayr_

7 months

An interesting viewpoint on pre-training of the so-called language-centric LLMs in low-resource domain to "preserve" knowledge about rare languages #ecir2024 #llm #lowresourcedomain #pretraining

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Nicolay Rusnachenko

@nicolayr_

4 months

@yufanghou Thanks! By being not physically at #NAACL2024 this year, rather remotely at #SemEval , finding it 💎 a quick poster skimming from the Summary Content Units as well as semantical tree construction for the textual content 👀

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Nicolay Rusnachenko

@nicolayr_

6 months

@RezaeiKeivan Congratulations with the paper acceptance! Well done 👏👀

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Nicolay Rusnachenko

@nicolayr_

3 years

During last few years the importance of quick transoformer tunings for downstream tasks become even more demanded. Earlier announced awesome list of sentiment analysis papers has been enlarged with recent advances in more time-effective tuning techniques

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Nicolay Rusnachenko

@nicolayr_

7 months

One of the inspirative directions (Dimension) of narrative in long texts that were highlighted at #ecir2024 #Text2Story is Spacial 🌎🗺️ ... Further details on pipeline and timeline tracking ... 🧵[1/3]

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Nicolay Rusnachenko

@nicolayr_

7 months

@shaily99 Handy to go with Overleaf + DrawIO for concept diagrams. For the overleaf, forming "lastest.tex" 📝 which later become renamed to specific date, so that becomes a 📑 eventually, which could be gathered into "main.tex"

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Nicolay Rusnachenko

@nicolayr_

6 months

@MakarandTapaswi @rodosingh23 @sridhruv @vikataravi @rvbabuiisc Congratulations, Phinally Done! 🎓

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Nicolay Rusnachenko

@nicolayr_

6 months

@Paul_Antara04 The concept is really good, so that making it mobile friendly seems to be a huge step forward ✨👏

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Nicolay Rusnachenko

@nicolayr_

2 years

Managing attitudes of a single texts Is not the only option available in AREkit (). We are also consider a laaaa...aaarge scale collections of texts with relations, and a way of how such collections could be handled by AREkit. Stay tuned) #arekit #nlp

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Nicolay Rusnachenko

@nicolayr_

7 months

@kaliisar @SoLAResearch @TUMohdKhalil @mohsaqr @kamilamisiejuk @SonsolesLP @SlateResearch @UniOslo @UniOslo_UV @UniEastFinland Congratulations, well done! 👏

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Nicolay Rusnachenko

@nicolayr_

2 years

Thanks for the provided opportunity to Huizhi Liang and for all students who got an opportunity to attend on the first guest lecture at Newcasle University! 🎉🎉🎉 The presentation was devoted to advances in sentiment attitude extraction #newcastle #ml #nlp #arekit #lecture

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Nicolay Rusnachenko

@nicolayr_

7 months

Catch me to find out more on how ARElight may be applied for your large texts 📚/ 📰 @ #ecir2024 demo track 📜💻. Thanks to my @UniofNewcastle colleagues: Huizhi Liang, Maxim Kalameyets, @lshi_ncl for work on system✨📺 📍lobby poster / demo session #nlp #lm #ir #sampling

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Nicolay Rusnachenko

@nicolayr_

2 years

A short post which demonstrates pipeline organization for inferring sentiment attitudes from mass-media texts #deepPavlov #arekit #ml #nlp #sentimentanalysis

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Nicolay Rusnachenko

@nicolayr_

7 months

Thanks for the fun time at the dancefloor ✨💃🕺

ECIR2024

@ecir2024

7 months

Now the fun begins - it's ceilidh time!! 🕺🎉

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Nicolay Rusnachenko

@nicolayr_

4 months

📢 I am happy to share that our studies made at @UniofNewcastle , aimed at fictional character personality extraction from literature novel books 📚, by solely rely on ⚠️ book content⚠️, become ACCEPTED at #LOD2024 @ Toscana, Italy 🇮🇹 🎉 👨‍💻: 🧵1/n

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Nicolay Rusnachenko

@nicolayr_

7 months

Self-attention -> windowed / sparse-self attention -> local +global self attention -> infini attention 👏✨

Aran Komatsuzaki

@arankomatsuzaki

7 months

Google presents Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention 1B model that was fine-tuned on up to 5K sequence length passkey instances solves the 1M length problem

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Nicolay Rusnachenko

@nicolayr_

5 months

@ShirinNilizadeh @SayakSahaRoy @poojithat512 Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

3 months

📢 I believe such instruction tuned LMs may represent a valuable contributions to IR related task advances such as sentiment analysis 💎 📝

GitHub - nicolay-r/awesome-sentiment-attitude-extraction: A curated list of awesome sentiment...

A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc. -...

github.com

Aniket Vashishtha

@AniketVashisht8

3 months

Can we teach Transformers Causal Reasoning? We propose Axiomatic Framework, a new paradigm for training LMs. Our 67M-param model, trained from scratch on simple causal chains, outperforms billion-scale LLMs and rivals GPT-4 in inferring cause-effect relations over complex graphs

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Nicolay Rusnachenko

@nicolayr_

5 months

@ProfJainendra @abhi251991 @hmi_iiitd @WeaveIIITD @amanparnami @IIITDelhi @cseiiitd @hcdiiitd @iiitdcai @iiitdcdnm Congratulations for being shortlisted on this! 👏 Well deserved.

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Nicolay Rusnachenko

@nicolayr_

5 months

@mudler_it @LocalAI_API Thanks for such a verbose explanation on the related differences! I believe I have to first find out more about function calling 👀

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Nicolay Rusnachenko

@nicolayr_

5 months

📢 This finds me as a valuable milestone 💎 on inputting personality traits into large language models 👀

Seongyun Lee

@sylee_ai

5 months

🚨 New LLM personalization/alignment paper 🚨 🤔 How can we obtain personalizable LLMs without explicitly re-training reward models/LLMs for each user? ✔ We introduce a new zero-shot alignment method to control LLM responses via the system message 🚀

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Nicolay Rusnachenko

@nicolayr_

5 months

@raquel_dmg @ecekt2 @sandropezzelle @UvA_Amsterdam @illc_amsterdam Congratulations 👏

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Nicolay Rusnachenko

@nicolayr_

5 months

@hcikate @DisabledInCS @ShirKi 👏

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Nicolay Rusnachenko

@nicolayr_

2 months

@ferrari_sam93 @ERC_Research @o_attya @SanRaffaeleMI @Telethonitalia Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

3 months

@mmbronstein 👏

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Nicolay Rusnachenko

@nicolayr_

1 month

@Micaela_phd2b @FulbrightPrgrm @PSUHistory Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

4 months

@NLPnorth @EliBassignana Is there related paper in open access that is behind the thesis studies? 👀✨

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Nicolay Rusnachenko

@nicolayr_

4 months

💎 Fact checking domain and advances in it are important for performing IR from news, and mass-media. These advances may serve with the new potential approaches aimed at enhancing LLMs reasoning capabilities in author opinion mining / Sentiment Analysis ✨

Manya Wadhwa

@ManyaWadhwa1

4 months

Refine LLM responses to improve factuality with our new three-stage process: 🔎Detect errors 🧑‍🏫Critique in language ✏️Refine with those critiques DCR improves factuality refinement across model scales: Llama 2, Llama 3, GPT-4. w/ @lucy_xyzhao @jessyjli @gregd_nlp 🧵

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Nicolay Rusnachenko

@nicolayr_

5 months

@keviv9 @SCAI_ASU @ASU @CityofPhoenixAZ Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

3 months

@windx0303 @IJCAIconf Cont get enough how creative that is, and non fitted "y" especially ✨ Well done, and I believe for the win as well!

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Nicolay Rusnachenko

@nicolayr_

5 months

📊Results of the gpt-4o (zero-shot) reasoning in Sentiment Analysis on English and non-English texts. Surprised to find low F1 results ⏬in English, while multilingual capabilities (ru) are still at the top levels 👑 #gpt4o #reasnoning #nlp #zsl #sentimetnalalysis #benchmark

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Nicolay Rusnachenko

@nicolayr_

3 months

@r_ungruh @ACMRecSys @DrCh0le @HannaHauptmann Congratulations! 👏 Well done!

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Nicolay Rusnachenko

@nicolayr_

7 months

@cramraj8 @KaustubhDhole @eugeneAgichtein Congratulations, well deserved! 👏

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Nicolay Rusnachenko

@nicolayr_

7 months

Once becoming aware about "Lost in the Middle" (LiM, see below) effect with 🤖, excited to find the related findings 👀 FYI:

elvis

@omarsar0

7 months

Long Context LLMs Struggle with Long In-Context Learning Finds that after evaluating 13 long-context LLMs on long in-context learning the LLMs perform relatively well under the token length of 20K. However, after the context window exceeds 20K, most LLMs except GPT-4 will dip

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Nicolay Rusnachenko

@nicolayr_

6 months

@oren_sultan @YonatanBitton @ron_yosef @HyadataLab Congratulations 👏👀

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Nicolay Rusnachenko

@nicolayr_

5 months

@JLopez_160 @cohere Thank you for sharing this, interesting to see how it goes with LLMs 👏👀 Legal documents are tend to be long in length, so how specifically you sample them?

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Nicolay Rusnachenko

@nicolayr_

6 months

📢OpenKE is the information retrieval (IR) fine-tuned version of the Meta-Llama-3-8B-Instruct. Wonder on its capabilities in other IR prospects 🧪👀

Ningyu Zhang@ZJU

@zxlzr

6 months

Just released new information extraction models: lora weights trained on Meta-Llama-3-8B-Instruct with IEPile corpus, and a full-parameter fine-tuned information extraction model, OneKE, based on Chinese-Alpaca-2-13B for the community! 🚀 #OpenSource #ModelWeights #IEPile #NLP

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Nicolay Rusnachenko

@nicolayr_

5 months

@sarahookr @cohere @CohereForAI No doubts! 👏

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Nicolay Rusnachenko

@nicolayr_

1 month

@_inesmontani The best preparation ever ✨

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Nicolay Rusnachenko

@nicolayr_

7 months

@Giuli12P2 @l__ranaldi Despite not being present at EACL, happy to have randomly come across this post and studies 👏

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Nicolay Rusnachenko

@nicolayr_

5 months

@jodieyzhou @CompScienceCU @Cardiff_NLP Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

7 months

@JackMcK1999 @graham_mcdonald @craig_macdonald @ir_glasgow Well done, congratulations Jack 👏

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Nicolay Rusnachenko

@nicolayr_

4 months

@UKPLab @TUDarmstadt @CS_TUDarmstadt @ATHENECenter @FraunhoferSIT @Hessian_AI @ProLOEWE @emergen_CITY @ELLISforEurope Congratulations 👏

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Nicolay Rusnachenko

@nicolayr_

5 months

@pesarlin @mapo1 @Jimantha @quantombone @cvg_ethz Congratulations, well deserved! 👏🎓

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Nicolay Rusnachenko

@nicolayr_

6 months

@ChenSun92 @Google @blaiseaguera Wow, congratulations! All the best on the researcher journey at Google 👏

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Nicolay Rusnachenko

@nicolayr_

5 months

@DrCh0le @IDC_ACM 👏

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Nicolay Rusnachenko

@nicolayr_

7 months

@xue_yihao65785 Not yet an expert in Multimodal NLP, but delighted for such short contributions sharing! 👀 Well deserved 👏

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Nicolay Rusnachenko

@nicolayr_

4 months

@aequa_tech @SimonaFrenda 👏👀 are there key technical details 📃behind the Debunker Assistant that were mentioned in the kalk?

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Nicolay Rusnachenko

@nicolayr_

5 months

@dr_jinahuhyoo @FollowStevens @VCalambur @wanglu5152 All the best on this move! 👏

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Nicolay Rusnachenko

@nicolayr_

3 months

@sucholutsky @NYUDataScience Congratulations, all the best in this role!👏

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Nicolay Rusnachenko

@nicolayr_

7 months

Wonder to see the most recent capabilities of instruction-tuned transformers in this direction 📝📊 👀

UKP Lab

@UKPLab

7 months

📢 Calling all #NLProc enthusiasts! The Shared Task on Perspective #ArgumentRetrieval is open for registration. Join us in this exciting challenge & develop methods to tailor arguments to different audiences! 📭 (1/🧵) #argmining_2024 #ACL2024NLP

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Nicolay Rusnachenko

@nicolayr_

5 months

@manoelribeiro @cervisiarius @russogiusep @icwsm Congratulations, well done! 👏 👀

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Nicolay Rusnachenko

@nicolayr_

5 months

@DrSanchariDas @makesomeshitup_ @NDSSSymposium @rhlchatterjee @USENIXSecurity @sigchi Joining with the sincere sorry for hearing this🙏 Congratulation of finalising the studies and all the best withe the quickest recovery.

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Nicolay Rusnachenko

@nicolayr_

2 months

@badityap @_arodriguezca @gtcomputing @GTCSE @vsarkar_gt @mlatgt 👏

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Nicolay Rusnachenko

@nicolayr_

3 months

@DrCh0le @r_ungruh @ACMRecSys @wisdelft @UniUtrecht Well done! 👏

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Nicolay Rusnachenko

@nicolayr_

5 months

@oanacamb Congratulations, that's impressive! 👏

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Nicolay Rusnachenko

@nicolayr_

2 months

@sunipa17 @c3_nlp @aclmeeting Congratulations! 👏

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Nicolay Rusnachenko

@nicolayr_

5 months

@alvarobartt @Alibaba_Qwen @huggingface Any recommendations on remote launching 72B for inferring?

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Nicolay Rusnachenko

@nicolayr_

7 months

@leifos @ACM_CHIIR Great news, congratulations!

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Nicolay Rusnachenko

@nicolayr_

4 months

@chenchenye_ccye Interesting, thank you for sharing! 👀👏

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Nicolay Rusnachenko

@nicolayr_

6 months

@j_foerst @AmazonScience @clockwk7 @JonnyCoook Congratulations on this achievement! 👏🎉

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Nicolay Rusnachenko

@nicolayr_

6 months

📢 Taking a look on to reasoning prospects of LLMs in linguistic tasks, it is necessary to go with data in English! Here is my findings on 📊 comparison in LLM reasoning between data written in: ☑ English ✅ Non-english (Russian) Reasoning capabilities by F1(PN) are tend to be