Khanh Nguyen @khanhxuannguyen
Postdoc at CHAI Berkeley with Prof. Stuart Russell, Prev. Postdoc at Princeton NLP, PhD @umdcs, Human-AI Communication, Interactive Learning, NLP. machineslearner.com Joined September 2014-
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lol, do you know that his brother Neal Wu is also a legend at IOI :D The family is insanely talented!
lol, do you know that his brother Neal Wu is also a legend at IOI :D The family is insanely talented!
More than 50% of the reported reasoning abilities of LLMs might not be true reasoning. How do we evaluate models trained on the entire internet? I.e., what novel questions can we ask of something that has seen all written knowledge? Below: new eval, results, code, and paper.…
Ever wondered how your LLM splits numbers into tokens? and how that might affect performance? Check out this cool project I did with @djstrouse: Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs. Read on 🔎⏬
and “alignment” is the new name for RL for structured prediction… (I guess that is not the originally intended meaning but that is what it turns out to be now)
and “alignment” is the new name for RL for structured prediction… (I guess that is not the originally intended meaning but that is what it turns out to be now)
@DrJimFan We did Sora+Genie but at a much more humble scale :p arxiv.org/abs/2402.01695 Still we realize that the problem of grounding language to dynamics is extremely difficult. With immense data, maybe you will generalize in distribution well, but achieving true compositional…
😠It is still ridiculous to me how much money/time was wasted simply because people don't read some old papers. 💡If you want to know why REINFORCE/A2C is better than Actor-Critic, read our paper: arxiv.org/pdf/1707.07402… We have identified all of the common issues for you: -…
🔄Back to REINFORCE for RLHF 😍insights on RL dynamics for RLHF, PPO taken apart into its components, and a simple + effective multi-sample RL objective. Congratulations @aahmadian_ 👏
🔄Back to REINFORCE for RLHF 😍insights on RL dynamics for RLHF, PPO taken apart into its components, and a simple + effective multi-sample RL objective. Congratulations @aahmadian_ 👏
I strongly encourage @GoogleDeepMind to acknowledge the early work on RLHF for text generation that pioneers the use of REINFORCE on this problem. Simplicity prevails! x.com/khanhxuannguye…
I strongly encourage @GoogleDeepMind to acknowledge the early work on RLHF for text generation that pioneers the use of REINFORCE on this problem. Simplicity prevails! x.com/khanhxuannguye…
Apply LLM input tokenization techniques into pretraining for sequential decision making tasks? Introducing PRISE, in which we bring byte pair encoding (BPE) to the seemingly distant task of learning skills of variable time span in continuous control domains. Project Page:…
Yoav Artzi @yoavartzi
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Kyunghyun Cho @kchonyc
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Yu Su @ysu_nlp
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Thomas Wolf @Thom_Wolf
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Prithviraj (Raj) Amma.. @rajammanabrolu
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Shannon @williams68shann
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Michi Yasunaga @michiyasunaga
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Wen Lai @Lavine_Lai
171 Followers 338 Following Phd student @CisLmu working on natural language processing #nlproc and machine translation | Interning at @Bosch_AI
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Xiaoyuan Zhang @XiaoyuanZh1907
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Dayeon (Zoey) Ki 🍀 @zoeykii
102 Followers 159 Following 📝 Incoming research intern at @AdobeResearch | CS PhD at @umdclip Interested in Aligning LLMs with Multilingual users 🗣️🌐
Julio Cesar @juliocsagaldino
132 Followers 2K Following Doutorando em Ciências de Computação e Matemática Computacional (Processamento de Linguagem Natural - IA) ICMC/USP. Que a música nos guie! 🎶
Joe Stacey @_joestacey_
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Manoj Acharya @manoja328
584 Followers 5K Following Mostly Interested in safe and aligned (neural inspired) Machine Intelligence ; PhD from Rochester Institute of Technology
Tianmin Shu @tianminshu
882 Followers 394 Following assistant professor @JHUCompSci & @JHUCogSci | working on social AI, embodied AI, and computational social cognition
William Sun @williamsun2020
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Alexander Wan @alexwan55
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Grace Isford @graceisford
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Lennart Wachowiak @l_wachowiak
79 Followers 154 Following PhD student at King’s College London. Member of the Safe and Trusted AI CDT. Researches explainable robotics, human–robot interaction, and cognitive linguistics
Abhinav Gupta @backpropper
791 Followers 5K Following phd student @Mila_Quebec | ms @CILVRatNYU @NYU_Courant | previously @GoogleDeepMind @AIatMeta @GoogleAI @labsdotgoogle @MSFTResearch @AdobeResearch
Anh Đặng @Anhng20460612
14 Followers 278 Following ReMa Linguistics and Communication Sciences, Centre for Language Studies, Radboud University
Ryan Tran @RyanTran30
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nguyen hoang @nthhtn
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Coen Mouton @CoenMouton
81 Followers 505 Following 🎓 PhD Student in South Africa. Research focus is on decision boundaries in DNNs - generalization and adversarial robustness.
Jiwan Chung @JiwanChung
18 Followers 62 Following Jiwan Chung, Ph.D. student @ Yonsei University. Researching multimodal machine learning, with a focus on VLMs. Looking for internship positions in summer 2024!
Tu Trinh @thetututrain
7 Followers 55 Following Aka Alina Trinh | Berkeley EECS M.S. '24 | Center for Human-Compatible AI
salah mohamed @salah__muhammad
1K Followers 2K Following ⭒* 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴*⭒ Just a normal noob, Trying to find out
Cong Nguyen @nkcong206
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Minh-Quan Le @lmquancs
46 Followers 253 Following Ph.D. Student in CS @ Stony Brook University, working on likelihood-based generative models.
qiang lu @luqiangtony
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SuperBasketballFan @Ebasketballfan
2 Followers 502 Following Biostatiscian, pension actuary, and tech writer.
Mohamad H. Danesh @mo_danesh
138 Followers 573 Following CS PhD @McGillU, working on RL and robotics stuff / ex- @LetsUnifyAI, @NUSComputing, @EngineeringOSU
Mai Hiền @HienHMai
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Sindri @Sindri78432591
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Jiaxin Wen @jiaxinwen22
46 Followers 661 Following Master's student @TsinghuaCoAI. Work on large-scale pre-training and alignment.
Jinchuan Zhang @jc_zhang99
178 Followers 1K Following PhD student at Institute of Information Engineering, Chinese Academy of Sciences @UCAS1978 | AI Alignment | Former Intern at @Baidu_Inc
Armin Sommer @armin_sommer
27 Followers 382 Following better AI product testing @ https://t.co/mZ7eLBnflR | cs @eth
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27 Followers 160 Following PhD student, University of Washington | ML & Comp Neuro
Hanqi Yan @yan_hanqi
304 Followers 463 Following PhD @WarwickNLP @kclinfon robust and interpretable representation learning for NLP. Former @MBZUAI @Hongkongpolyu | M.S @PKU1898 | B.E @beihang1952
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super @superlucklife
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Andrej Karpathy @karpathy
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Yann LeCun @ylecun
712K Followers 719 Following Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
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(((ل()(ل() 'yoav))).. @yoavgo
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Yoav Artzi @yoavartzi
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Percy Liang @percyliang
49K Followers 408 Following Associate Professor in computer science @Stanford @StanfordHAI @StanfordCRFM @StanfordAILab @stanfordnlp | cofounder @togethercompute | Pianist
AK @_akhaliq
310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80Gx
Jim Fan @DrJimFan
229K Followers 3K Following @NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.
Jacob Andreas @jacobandreas
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Christopher Manning @chrmanning
127K Followers 116 Following Director, @StanfordAILab. Assoc. Director, @StanfordHAI. Founder, @stanfordnlp. Prof. CS & Linguistics, @Stanford. IP @aixventureshq. 🇦🇺 Do #NLProc & #AI. 👋
AI at Meta @AIatMeta
532K Followers 255 Following Together with the AI community, we are pushing the boundaries of what’s possible through open science to create a more connected world.
Kyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).
Felix Hill @FelixHill84
9K Followers 777 Following Research Scientist, Deepmind I try to think hard about everything I tweet, esp on 90s football and 80s music None of my opinions are really someone else's
François Chollet @fchollet
470K Followers 769 Following Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.
Kayo Yin @kayo_yin
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Sameer Singh @sameer_
7K Followers 2K Following Cofounder @SpiffyAI and Assoc Prof at @UCIrvine, working on reliable LLMs, explanations for AI+ML, adversaries for NLP, and debugging/evaluation.
Mark Dredze @mdredze
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Delip Rao e/σ @deliprao
46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈
Yi Tay @YiTayML
29K Followers 97 Following chief scientist / cofounder @RekaAILabs 🫠 past: research scientist @google brain 🤯 currently learning to be a dad 🍼
Wen Lai @Lavine_Lai
171 Followers 338 Following Phd student @CisLmu working on natural language processing #nlproc and machine translation | Interning at @Bosch_AI
Michi Yasunaga @michiyasunaga
3K Followers 868 Following CS PhD @Stanford working on language models and multimodal models. Previously @Meta @GoogleDeepMind @Yale
Dhruv Batra @DhruvBatraDB
14K Followers 324 Following Senior Director (FAIR @MetaAI). Professor (@GeorgiaTech). Co-founded CaliperAI. Researcher in AI. @CarnegieMellon alum.
Tianmin Shu @tianminshu
882 Followers 394 Following assistant professor @JHUCompSci & @JHUCogSci | working on social AI, embodied AI, and computational social cognition
Alexander Wan @alexwan55
475 Followers 944 Following CS at Berkeley; @BerkeleyML @BerkeleyNLP; NLP research
Zico Kolter @zicokolter
15K Followers 499 Following Associate professor at Carnegie Mellon, VP and Chief Scientist at Bosch Center for AI. Researching (deep) machine learning, robustness, implicit layers.
Kevin Patrick Murphy @sirbayes
42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.
Deepak Pathak @pathak2206
16K Followers 316 Following I study topics in AI (machine learning, robotics & computer vision).
Lennart Wachowiak @l_wachowiak
79 Followers 154 Following PhD student at King’s College London. Member of the Safe and Trusted AI CDT. Researches explainable robotics, human–robot interaction, and cognitive linguistics
Neal Wu @WuNeal
15K Followers 390 Following Building @cognition_labs. Previously @tryramp, @GoogleBrain, @Harvard, competitive programming (featured in @Wired). Created https://t.co/pihw5AGvbV.
Minh-Quan Le @lmquancs
46 Followers 253 Following Ph.D. Student in CS @ Stony Brook University, working on likelihood-based generative models.
Mohamad H. Danesh @mo_danesh
138 Followers 573 Following CS PhD @McGillU, working on RL and robotics stuff / ex- @LetsUnifyAI, @NUSComputing, @EngineeringOSU
Trung Le @_trung_le_
27 Followers 160 Following PhD student, University of Washington | ML & Comp Neuro
Hanqi Yan @yan_hanqi
304 Followers 463 Following PhD @WarwickNLP @kclinfon robust and interpretable representation learning for NLP. Former @MBZUAI @Hongkongpolyu | M.S @PKU1898 | B.E @beihang1952
Ofir Press 🖋 @OfirPress
10K Followers 3K Following I build tough benchmarks for LMs and then I get the LMs to solve them. Postdoc @Princeton. PhD from @nlpnoah @UW. Ex-visiting researcher @MetaAI & @MosaicML.
Arash Ahmadian @aahmadian_
917 Followers 541 Following Preference Training & RL @Cohere @CohereForAI, researcher @VectorInst ece @uoft
Nan Jiang @nanjiang_cs
7K Followers 72 Following machine learning researcher, with focus on reinforcement learning. asst prof @ uiuc cs. Course on RL theory (w/ videos): https://t.co/vqVKwY4RJE
Brian Huang @brianryhuang
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Anca Dragan @ancadianadragan
8K Followers 178 Following AI safety & alignment at Google DeepMind • associate professor at UC Berkeley EECS • proud mom of an amazing 2yr old
Ashutosh Baheti @wat_the_fun
160 Followers 269 Following Graduate Research Assistant at Georgia Tech. I'm interested in open-domain Dialog Systems and Reinforcement Learning.
Zheng-Xin Yong (Yong) @yong_zhengxin
867 Followers 1K Following PhD @BrownCSDept || 🤖 multilingual + inclusive + responsible AI incoming: RS Intern @ FAIR @AIatMeta past: @CohereForAI @BigscienceW
Rishabh Agarwal @agarwl_
6K Followers 549 Following Senior Research Scientist, @GoogleDeepMind, ex-🧠. Agents that make decisions. NeurIPS Best Paper (RLiable). Mila, IIT Bombay.
Chen Wu @ChenHenryWu
337 Followers 573 Following Ph.D. student @CMU_Robotics | Prev. undergrad @Tsinghua_Uni
Yuancheng Xu @Yuancheng_Xu0
182 Followers 480 Following PhD student at University of Maryland, College Park Working on trustworthy AI
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276 Followers 499 Following Ph.D. student @umdcs @ClipUmd NLP, QA, Retrievers, Efficient Methods Past: @Cohere @GoogleAI @theteamatx 🚀 Opinions my own. he/him 🏳️🌈 @[email protected]
Yasir Zaki @YasirZaki82
312 Followers 652 Following Assistant Professor of CS, New York University Abu Dhabi. Love networks, Internet, and Web. My hobby is building systems and performing network measurements.
Ian Osband @IanOsband
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Alex Zhang @a1zhang
11K Followers 167 Following undergrad @princeton graduating ‘24 | interested in nlp/rl research & more recently systems
Yaowen Ye (Elwin) @HelloElwin
25 Followers 135 Following Machine Intelligence, AI Alignment, Cognitive Reasoning, Graph Machine Learning, Music, Photography
Dylan HadfieldMenell @dhadfieldmenell
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noahdgoodman @noahdgoodman
2K Followers 109 Following Professor of natural and artificial intelligence @Stanford. Research Scientist at @GoogleDeepMind. (@StanfordNLP @StanfordAILab etc)
Qingcheng Zeng @SteveZeng7
564 Followers 1K Following PhD-ing @linguisticsNU with @rfpvjr / I do research in computational social science and linguistic-motivated NLP / A big fan of @Arsenal
Khai Nguyen @khainb_ml
397 Followers 290 Following Ph.D. Candidate at @UT_Stats, working on the intersection between #OptimalTransport and #MachineLearning | Ex-intern at @Toyota @ATT|
Ching-An Cheng @chinganc_rl
2K Followers 84 Following Senior Researcher at @MSFTResearch, working on usable theory and algorithms for Reinforcement Learning and Robotics.
Archit Sharma @archit_sharma97
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Alex Gu @minimario1729
2K Followers 2K Following phd @MIT_CSAIL, llm for math and code. intern @MetaAI and analyst @pillar_vc. prev @BigCodeProject, @MITIBMLab, @JaneStreetGroup, @PonyAI_tech
Michelle Yuan @michyuan
470 Followers 204 Following Applied Scientist @aws doing NLP/ML/AI research. Previously, PhD @umdcs. I climb mountains like how my models climb hills.
Chris Paxton @chris_j_paxton
8K Followers 1K Following Mostly posting about robots. Embodied AI @hellorobotinc, formerly @AIatMeta, @NVIDIAAI, @zoox. All views my own.
Rémi Leblond @RemiLeblond
2K Followers 155 Following Research Scientist @GoogleDeepMind. #Gemini, #AlphaCode, #AlphaStar. Working on solving hard problems with machine learning.
Durk Kingma @dpkingma
35K Followers 348 Following Deep learning, mostly generative models. Prev. Google Brain/DeepMind, founding team @OpenAI. Inventor of the VAE, Adam optimizer, among other things. ML PhD.
Marc G. Bellemare @marcgbellemare
13K Followers 351 Following CSO & co-founder, Reliant AI. Ex RL research lead at Google Brain, DeepMind. Known for Atari 2600 RL benchmark, Distributional RL (MIT Press 2023).
Kawin Ethayarajh @ethayarajh
3K Followers 727 Following PhD student @StanfordAILab @stanfordnlp Working on machine learning under human incentives.
Ben Plaut @benplaut
7 Followers 31 Following Postdoc in AI safety | Maybe the real neural networks were the friends we made along the way
qnguyen3 @stablequan
3K Followers 1K Following Multimodal | Synthetic Data | Multimodal Lead at Ontocord AI
Congrats to @haldaume3, who was recently honored at the 2024 Maryland Research Excellence Celebration. Daumé was recognized for his leadership and extensive work in artificial intelligence. 👏 Read more: go.umd.edu/Research-Excel…
wrote this down more formally so that I can get it off my mind... arxiv.org/abs/2404.09946 If you find the original tweets lack context/background but find the topic interesting, the note might be helpful
At CISS hearing nice talks on model-based RL. MBRL has the reputation of bad "error compounding", but I realize recently that its theoretical root may be different from what ppl think... The problem may not be error accumulation over *time*, but the one-step error itself! 1/
It's true, and the need for single-modality ablations during model building and dataset curation extends beyond classification tasks into actions too. A few years ago we found that many "embodied" agents end up either ignoring language OR ignoring vision. arxiv.org/abs/1811.00613
I have been working on vision+language models (VLMs) for a decade. And every few years, this community re-discovers the same lesson -- that on difficult tasks, VLMs regress to being nearly blind! Visual content provides minor improvement to a VLM over an LLM, even when these…
🚨Ever worried your smart home might turn against you in the near future? What if attackers could command your home assistants for something really bad? We're tackling this sci-fi scenario head-on! 🛡️ 🔥Excited to unveil our #NAACL2024 paper, "Navigation as Attackers Wish?…
In case this gets buried in the thread, this is an important result for people looking into RLAIF and LLM-as-a-Judge: GPT-4 rating is an important optimizing signal, and provides extra supervision than the demonstration from it. We still observe the correlation between GPT-4 and…
It also uncovers an interesting challenge! 🤔LLM-based eval tends to overestimate the abilities of language agents specifically trained for social interaction. Time to think about more advanced evaluation methods to assess social intelligence! ⚖️
Finally got around to list @COLM_conf's 140(!) area chairs on the website! Thanks everyone for your support and help! colmweb.org/AreaChairs.html
today is a Big Day™️ for us!
Today, we're announcing Claude 3, our next generation of AI models. The three state-of-the-art models—Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku—set new industry benchmarks across reasoning, math, coding, multilingual understanding, and vision.
I totally agree. RL doesn’t have to be a method, it can just be a setting. Alignment also doesn’t have to be a narrow set of methods. It should be a problem setting.
@PandaAshwinee alignment is meant to be a method-agnostic term. it is a goal, an outcome. now it is (mis)used to denote a narrow set of methods.
More than 50% of the reported reasoning abilities of LLMs might not be true reasoning. How do we evaluate models trained on the entire internet? I.e., what novel questions can we ask of something that has seen all written knowledge? Below: new eval, results, code, and paper.…
Ever wondered how your LLM splits numbers into tokens? and how that might affect performance? Check out this cool project I did with @djstrouse: Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs. Read on 🔎⏬
Sometimes I wonder if I can ever go back to using this app like I did in 2009. Yelling about finding a new album I like or how I’m feeling.
Convince me I'm wrong: Generative AI is the new name for structured prediction. An interviewer asked for a def of GenAI & offhand: "an AI system that generates a complex output at once (vs a single prediction)" I later realized that's ≈identical to the def of SP I'd give ~2005
@khanhxuannguyen We found that plugging +1/-1 rewards into PPO-Clip can give you surprisingly good results (on par with DPO until Llama-30b). Partly what inspired the KTO objective: arxiv.org/abs/2402.01306
@nanjiang_cs @rajammanabrolu @SOURADIPCHAKR18 @khanhxuannguyen I agree with @rajammanabrolu that language is unlikely a bandit problem. It's just posed this way in current methods. So, yea, so-called RLHF and friends are all bandit. But that's not to confuse with how the phenomena you are observing (natural language and its learning cues)
@yoavartzi @rajammanabrolu @SOURADIPCHAKR18 @khanhxuannguyen what I really want to say (and this holds much more broadly) is that we should avoid confusing problem formulation with (popular/common) algs. Saying prompt-response LLM is bandit does not mean we must use standard bandit algs; it’s just a framework for thinking and reasoning
@yoavartzi @rajammanabrolu @SOURADIPCHAKR18 @khanhxuannguyen but for the current prompt-response paradigm, bandits as an math formulation is more than enough to capture it. Even when breaking it down to multi-step helps, it can be viewed as a special structure in the bandits that can be leveraged.
@yoavartzi @rajammanabrolu @SOURADIPCHAKR18 @khanhxuannguyen I think langauge in general (even in the ctx of llms) is def’n not a bandit, but that’s when you optimize for multi-turn conversation and consider counterfactuals (if I say A instead of B, how would user react, and how does that affect downstream conversation?)…
@khanhxuannguyen Yeah actually, it makes sense. I read your articles and threads. Very insightful
@khanhxuannguyen @rajammanabrolu Agree it's all bandits. If you don't make new observations in between, it's just one giant action. _Sometimes_ it seems useful to (conceptually & algorithmically) break down the a large action into multi-steps, but I've been always been skeptical...
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