Alexis Ross @alexisjross
phd-ing @MIT_CSAIL, interested in NLP for education | formerly nlp @allen_ai, comp sci & philosophy @harvard ‘20 alexisjihyeross.github.io Seattle, WA Joined June 2018-
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Want to train an aligned LM in a new language 🌏 but don’t have preference data for training the reward model (RM)? 💡 Just use a RM for another language: it often works well, sometimes even BETTER than if you had a RM in your target language! 🤯 arxiv.org/abs/2404.12318
We should be smarter than just scaling! We should create data-efficient algs. Humans are great at this, algs should learn from humans. This is what I have been working on (t.ly/KB818). This is also what our BabyLM is about (babylm.github.io)!
We should be smarter than just scaling! We should create data-efficient algs. Humans are great at this, algs should learn from humans. This is what I have been working on (t.ly/KB818). This is also what our BabyLM is about (babylm.github.io)!
✨Excited to finally drop our new paper: SSMs “look like” RNNs, but we show their statefulness is an illusion🪄🐇 Current SSMs cannot express basic state tracking, but a minimal change fixes this! 👀 w/ @jowenpetty, @Ashish_S_AI arxiv.org/abs/2404.08819
Today, a rare cosmic alignment in the ML universe: simultaneous shoutouts from both AK's @_akhaliq & @arankomatsuzaki! 🌞🌑 It's been such a blast to collaborate on "Stream of Search" with @gandhikanishk & team and looking forward to exploring successor states.
Today, a rare cosmic alignment in the ML universe: simultaneous shoutouts from both AK's @_akhaliq & @arankomatsuzaki! 🌞🌑 It's been such a blast to collaborate on "Stream of Search" with @gandhikanishk & team and looking forward to exploring successor states.
Hi everyone! We are excited to have @TheAndiPenguin from @MIT_CSAIL presenting tomorrow at the robot learning seminar (11:30am EST). See you all soon! youtube.com/@MontrealRobot… #robotics #machinelearning #abstractions
An oldie but a goodie - representation alignment is important! Even more nowadays in the age of scaling up human feedback for task learning. Come chat w/us at HRI about it :)
An oldie but a goodie - representation alignment is important! Even more nowadays in the age of scaling up human feedback for task learning. Come chat w/us at HRI about it :)
Thanks @_akhaliq for tweeting our work! 🤝Co-LLM trains a language model to collaboratively decode with other LMs. It decides whether to invoke the other assistant LM for each token. By optimally combining the expertise from each LM, co-llm generation can be better than using…
Thanks @_akhaliq for tweeting our work! 🤝Co-LLM trains a language model to collaboratively decode with other LMs. It decides whether to invoke the other assistant LM for each token. By optimally combining the expertise from each LM, co-llm generation can be better than using…
One of my favorite things about grad school has been getting to play chamber music again--Had a blast playing Tchaikovsky Piano Trio with @vikramsundar and @erencshin 😊
Tired of waiting months for reviews? In recent work, we introduce MARG (Multi-Agent Review Generation), a new scientific peer-review generation approach using multiple GPT agents that collaborate to write reviews. arxiv.org/abs/2401.04259
📢Introducing CRUXEval, a benchmark to measure Python code execution! 🏠Homepage: crux-eval.github.io 📜Paper: crux-eval.github.io/paper/cruxeval… 🏆Leaderboard: crux-eval.github.io/leaderboard.ht… 🔎Sample Explorer: crux-eval.github.io/demo.html 📊HF Dataset: huggingface.co/datasets/cruxe…
NSF CISE has a mentoring/fellowship call for folks with bachelors' degrees and CISE skills who have been out in the world and who are looking to come back for a CISE-discipline PhD. See nsf.gov/pubs/2024/nsf2… ; please share to folks in your orbit.
On the plane to #NeurIPS2023! Excited to talk Human-Guided Complexity-Controlled Abstractions on Thurs + help host GCRL Workshop on Fri (goal-conditioned-rl.github.io/2023/). I'd love to chat about: 1) abstraction in RL 2) learning world models from humans 3) the future of AI safety!
On the plane to #NeurIPS2023! Excited to talk Human-Guided Complexity-Controlled Abstractions on Thurs + help host GCRL Workshop on Fri (goal-conditioned-rl.github.io/2023/). I'd love to chat about: 1) abstraction in RL 2) learning world models from humans 3) the future of AI safety!
How good are LMs at inductive reasoning? How are their behaviors similar to/contrasted with those of humans? We study these via iterative hypothesis refinement. We observe that LMs are phenomenal hypothesis proposers, but they also behave as puzzling inductive reasoners: (1/n)
📣 @Ashish_S_AI and I prove that transformers can be translated to sentences in first-order logic with majority-vote quantifiers (FOM). FOM is a symbolic language that can capture computation inside transformers! arxiv.org/abs/2210.02671
What if we equipped LLMs with cutting-edge code refactoring tools? 🤖🛠 Presenting LILO: Library Induction with Language Observations 📝 arxiv.org/abs/2310.19791 💻 github.com/gabegrand/lilo + Lio Wong, @mattlbowers, @theo_olausson, Muxin Liu, Josh Tenenbaum & @jacobandreas️ 🧵⬇️
New EMNLP theme findings paper! arxiv.org/abs/2310.12135 The ML community is divided on whether models show "sparks" of intelligence or are just stochastic parrots. Is the perceived intelligence in models intrinsic, or is there inherent subjectivity in the evaluation process? 🧵
⭐️New Paper⭐️ Can we use game theory to improve language model (LM) decoding? We introduce Equilibrium-Ranking (ER), where we cast LM decoding as an imperfect-information game 👾. On multiple tasks, LLaMA-7B with ER can outperform the much larger LLaMA-65B model. 🧵⬇️1/
📢 Join us for the next ACL Mentorship session: "Preparing your grad school application: CV and Statement of Purpose" 📷 Tu October 10th, 6:00-7:00pm UTC / 2:00-3:00pm EST / 7:00-8:00pm GMT Zoom: us02web.zoom.us/j/85861414828?…
Jacob Andreas @jacobandreas
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2K Followers 153 Following Associate Professor @StanfordPsych #SocialLearning #cognition #development Google Translate does a decent job pronouncing my name 권효원 :-)Excited to give a talk tomorrow at @USC_ISI! Open to everyone, but you need to email [email protected] ahead of time to be admitted.
✨Excited to finally drop our new paper: SSMs “look like” RNNs, but we show their statefulness is an illusion🪄🐇 Current SSMs cannot express basic state tracking, but a minimal change fixes this! 👀 w/ @jowenpetty, @Ashish_S_AI arxiv.org/abs/2404.08819
What challenges do developers face while using AI programming assistants like GitHub Copilot? 🤖🤔 Check out my #ICSE2024 paper (w/ @cyyang3_u and @bradamyers)! I'm presenting this work today at 4:15PM in the Fernando Pessoa room. See you there 🤗 arxiv.org/pdf/2303.17125…
Today, a rare cosmic alignment in the ML universe: simultaneous shoutouts from both AK's @_akhaliq & @arankomatsuzaki! 🌞🌑 It's been such a blast to collaborate on "Stream of Search" with @gandhikanishk & team and looking forward to exploring successor states.
Language models struggle to search, not due to an architecture problem, but a data one! They rarely see how to search or backtrack. We show how LLMs can be taught to search by representing the process of search in language as a flattened string, a stream of search (SoS)!
Sophomore year at Harvard, my team was first place in a competition that our machine learning class was having, and I was feeling pretty good. Then at 1am, Scott Wu made a few submissions and wrecked us. Best of luck to this amazing team!
Today we're excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork. Devin is…
Hi everyone! We are excited to have @TheAndiPenguin from @MIT_CSAIL presenting tomorrow at the robot learning seminar (11:30am EST). See you all soon! youtube.com/@MontrealRobot… #robotics #machinelearning #abstractions
We just released Bonito 🐟, an open-source model that converts your raw, unannotated data into synthetic instruction tuning datasets. With it, you can easily create a specialized LLM for your proprietary and private data! (1/n) github.com/BatsResearch/b…
📢 Preprint: We can predict entailment relations from LM sentence co-occurrence prob. scores These results suggest predicting sentence co-occurrence may be one way that next-word prediction leads to (partial) semantic representations in LMs🧵
@srush_nlp @WilliamWangNLP 100%! AI2 is one of the few places that really takes a chance on young people with very little track record (I was one of them). There are *so* many cool opportunities in the field right now, but a majority of them are gated behind having some insane prior accomplishments.
me walking into the office every day 🥹
Yesterday I went to check out the classroom where I'll be teaching. At first I thought the door was locked, but it turned out that it was just very heavy. It felt like a metaphor for life - often the doors that we think are locked are actually just heavy!
Extremely happy to announce that I defended my PhD; next week is my first day on the LLaMA team at @Meta GenAI 🥳🦙!! Excited to help build the best open models in the world. To the UWNLP community, thank you for everything. You can watch my defense at youtube.com/watch?v=xNPLT-…
Two exciting updates in the new year: - LILO will appear at #ICLR2024! - I will not appear at #ICLR2024 -- instead, my fiancee and I will be getting married here in MA! Though I won't see you in Vienna, I look forward to leaving this work in the hands of my amazing co-authors!
What if we equipped LLMs with cutting-edge code refactoring tools? 🤖🛠 Presenting LILO: Library Induction with Language Observations 📝 arxiv.org/abs/2310.19791 💻 github.com/gabegrand/lilo + Lio Wong, @mattlbowers, @theo_olausson, Muxin Liu, Josh Tenenbaum & @jacobandreas️ 🧵⬇️
“The Expressive Power of Transformers with Chain of Thought” w/ @Ashish_S_AI will appear at ICLR 🇦🇹 x.com/srush_nlp/stat…
Props to Will Merill @lambdaviking for having already fully formalized my nonsense thoughts arxiv.org/pdf/2310.07923… (also for generally writing extremely interesting papers)