ICLR 2024 — Best Papers & Talks (Benchmarks, Reasoning & Agents) — ft. Graham Neubig, Aman Sanger, Moritz Hardt)
Our second wave of speakers for AI Engineer World’s Fair were announced! The conference sold out of Platinum/Gold/Silver sponsors and Early Bird tickets! See our Microsoft episode for more info and buy now with code LATENTSPACE.
This episode is straightforwardly a part 2 to our ICLR 2024 Part 1 episode, so without further ado, we’ll just get right on with it!
Timestamps
[00:03:43] Section A: Code Edits and Sandboxes, OpenDevin, and Academia vs Industry — ft. Graham Neubig and Aman Sanger
* [00:07:44] WebArena
* [00:18:45] Sotopia
* [00:24:00] Performance Improving Code Edits
* [00:29:39] OpenDevin
* [00:47:40] Industry and Academia
[01:05:29] Section B: Benchmarks
* [01:05:52] SWEBench
* [01:17:05] SWEBench/SWEAgent Interview
* [01:27:40] Dataset Contamination Detection
* [01:39:20] GAIA Benchmark
* [01:49:18] Moritz Hart - Science of Benchmarks
[02:36:32] Section C: Reasoning and Post-Training
* [02:37:41] Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
* [02:51:00] Let’s Verify Step By Step
* [02:57:04] Noam Brown
* [03:07:43] Lilian Weng - Towards Safe AGI
* [03:36:56] A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
* [03:48:43] MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
[04:00:51] Bonus: Notable Related Papers on LLM Capabilities
Section A: Code Edits and Sandboxes, OpenDevin, and Academia vs Industry — ft. Graham Neubig and Aman Sanger
* Guests
* Graham Neubig
* Aman Sanger - Previous guest and NeurIPS friend of the pod!
* WebArena
*
* Sotopia (spotlight paper, website)
*
* Learning Performance-Improving Code Edits
* OpenDevin
* Junyang Opendevin
* Morph Labs, Jesse Han
* SWE-Bench
* SWE-Agent
* Aman tweet on swebench
* LiteLLM
* Livecodebench
* the role of code in reasoning
* Language Models of Code are Few-Shot Commonsense Learners
* Industry vs academia
* the matryoshka embeddings incident
* other directions
* Unlimiformer
Section A timestamps
* [00:00:00] Introduction to Guests and the Impromptu Nature of the Podcast
* [00:00:45] Graham's Experience in Japan and Transition into Teaching NLP
* [00:01:25] Discussion on What Constitutes a Good Experience for Students in NLP Courses
* [00:02:22] The Relevance and Teaching of Older NLP Techniques Like Ngram Language Models
* [00:03:38] Speculative Decoding and the Comeback of Ngram Models
* [00:04:16] Introduction to WebArena and Zotopia Projects
* [00:05:19] Deep Dive into the WebArena Project and Benchmarking
* [00:08:17] Performance Improvements in WebArena Using GPT-4
* [00:09:39] Human Performance on WebArena Tasks and Challenges in Evaluation
* [00:11:04] Follow-up Work from WebArena and Focus on Web Browsing as a Benchmark
* [00:12:11] Direct Interaction vs. Using APIs in Web-Based Tasks
* [00:13:29] Challenges in Base Models for WebArena and the Potential of Visual Models
* [00:15:33] Introduction to Zootopia and Exploring Social Interactions with Language Models
* [00:1
