Manling Li

Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization

2019

Transcripts of natural, multi-person meetings differ significantly from documents like news articles, which can make Natural Language Generation models generate unfocused summaries. We develop an abstractive meeting summarizer from both videos and audios of meeting …

The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction

2021 · arXiv (Cornell University)

Event schemas encode knowledge of stereotypical structures of events and their connections. As events unfold, schemas are crucial to act as a scaffolding. Previous work on event schema induction focuses either on atomic events or …

Word Embeddings Are Steers for Language Models

2023 · arXiv (Cornell University)

Language models (LMs) automatically learn word embeddings during pre-training on language corpora. Although word embeddings are usually interpreted as feature vectors for individual words, their roles in language model generation remain underexplored. In this work, …

AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning

2025 · arXiv (Cornell University)

LLM-based multi-agent systems excel at planning, tool use, and role coordination, but their openness and interaction complexity also expose them to jailbreak, prompt-injection, and adversarial collaboration. Existing defenses fall into two lines: (i) self-verification that …

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning

2025 · arXiv (Cornell University)

Multi-turn problem solving is critical yet challenging for Large Reasoning Models (LRMs) to reflect on their reasoning and revise from feedback. Existing Reinforcement Learning (RL) methods train large reasoning models on a single-turn paradigm with …