Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding Paper • 2411.04282 • Published Nov 6 • 30
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding Paper • 2411.04282 • Published Nov 6 • 30
Learning from Sparse Offline Datasets via Conservative Density Estimation Paper • 2401.08819 • Published Jan 16
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases Paper • 2406.10290 • Published Jun 12
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Paper • 2408.07060 • Published Aug 13 • 40
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Paper • 2408.07060 • Published Aug 13 • 40
xLAM models Collection xLAM: A Family of Large Action Models to Empower AI Agent Systems: https://github.com/SalesforceAIResearch/xLAM • 11 items • Updated about 16 hours ago • 43
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems Paper • 2407.01370 • Published Jul 1 • 86
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets Paper • 2406.18518 • Published Jun 26 • 23
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Paper • 2406.17557 • Published Jun 25 • 86
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets Paper • 2406.18518 • Published Jun 26 • 23
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets Paper • 2406.18518 • Published Jun 26 • 23 • 1
Learning Shared Safety Constraints from Multi-task Demonstrations Paper • 2309.00711 • Published Sep 1, 2023