Evaluating Very Long-Term Conversational Memory of LLM Agents Paper • 2402.17753 • Published Feb 27 • 18
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding Paper • 2402.16671 • Published Feb 26 • 26
Do Large Language Models Latently Perform Multi-Hop Reasoning? Paper • 2402.16837 • Published Feb 26 • 24
Divide-or-Conquer? Which Part Should You Distill Your LLM? Paper • 2402.15000 • Published Feb 22 • 22
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models Paper • 2402.14848 • Published Feb 19 • 18
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning Paper • 2402.15506 • Published Feb 23 • 12
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement Paper • 2402.14658 • Published Feb 22 • 82
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming Paper • 2402.14261 • Published Feb 22 • 10
User-LLM: Efficient LLM Contextualization with User Embeddings Paper • 2402.13598 • Published Feb 21 • 18
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization Paper • 2402.13249 • Published Feb 20 • 10
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements Paper • 2402.10963 • Published Feb 13 • 9
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows Paper • 2402.10379 • Published Feb 16 • 29
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling Paper • 2402.10466 • Published Feb 16 • 16
RLVF: Learning from Verbal Feedback without Overgeneralization Paper • 2402.10893 • Published Feb 16 • 10
ReGAL: Refactoring Programs to Discover Generalizable Abstractions Paper • 2401.16467 • Published Jan 29 • 8
Capture the Flag: Uncovering Data Insights with Large Language Models Paper • 2312.13876 • Published Dec 21, 2023 • 1
Recourse for reclamation: Chatting with generative language models Paper • 2403.14467 • Published Mar 21 • 6
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models Paper • 2403.15157 • Published Mar 22 • 6
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing Paper • 2404.12253 • Published Apr 18 • 52
How Far Can We Go with Practical Function-Level Program Repair? Paper • 2404.12833 • Published Apr 19 • 6
INDUS: Effective and Efficient Language Models for Scientific Applications Paper • 2405.10725 • Published May 17 • 31