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Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates

Aligning Large Language Models with Implicit Preferences from User-Generated Content

Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations

ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training

LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios

ItD: Large Language Models Can Teach Themselves Induction through Deduction

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

HYTREL: Hypergraph-enhanced Tabular Data Representation Learning