Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 50
misc
-
-
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
SnapKV: LLM Knows What You are Looking for Before Generation
Paper • 2404.14469 • Published • 27 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 34 -
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
Paper • 2405.10315 • Published • 14 -
TextGrad: Automatic "Differentiation" via Text
Paper • 2406.07496 • Published • 31 -
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
Paper • 2406.19741 • Published • 60 -
LiteSearch: Efficacious Tree Search for LLM
Paper • 2407.00320 • Published • 40 -
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
Paper • 2407.01920 • Published • 17 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
Language Model Can Listen While Speaking
Paper • 2408.02622 • Published • 40