Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding Paper • 2411.04282 • Published Nov 6, 2024 • 32
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding Paper • 2411.04282 • Published Nov 6, 2024 • 32
Learning from Sparse Offline Datasets via Conservative Density Estimation Paper • 2401.08819 • Published Jan 16, 2024
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases Paper • 2406.10290 • Published Jun 12, 2024
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Paper • 2408.07060 • Published Aug 13, 2024 • 41
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Paper • 2408.07060 • Published Aug 13, 2024 • 41
xLAM models Collection xLAM: A Family of Large Action Models to Empower AI Agent Systems: https://github.com/SalesforceAIResearch/xLAM • 11 items • Updated 18 days ago • 45
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems Paper • 2407.01370 • Published Jul 1, 2024 • 86
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets Paper • 2406.18518 • Published Jun 26, 2024 • 24
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Paper • 2406.17557 • Published Jun 25, 2024 • 89
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets Paper • 2406.18518 • Published Jun 26, 2024 • 24
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets Paper • 2406.18518 • Published Jun 26, 2024 • 24 • 1
Learning Shared Safety Constraints from Multi-task Demonstrations Paper • 2309.00711 • Published Sep 1, 2023