Chain-of-Thought Reasoning Without Prompting
Paper
• 2402.10200 • Published
• 109
Papers I've read
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Large Language Models Cannot Self-Correct Reasoning Yet
Paper • 2310.01798 • Published • 36 -
Premise Order Matters in Reasoning with Large Language Models
Paper • 2402.08939 • Published • 28 -
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Paper • 2402.12875 • Published • 13 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 33 -
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Paper • 2207.01206 • Published • 3 -
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
Paper • 2406.11695 • Published • 2 -
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
Paper • 2407.10930 • Published -
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
Paper • 2405.15793 • Published • 7 -
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents
Paper • 2407.16741 • Published • 76 -
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
Paper • 2403.07718 • Published • 2 -
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
Paper • 2407.05291 • Published • 2 -
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47 -
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
Paper • 2410.09918 • Published • 3 -
YuLan-Mini: An Open Data-efficient Language Model
Paper • 2412.17743 • Published • 66 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108