LLM Reasoning

Aligning LLMs with Human Uncertainty: A Beta-Bernoulli Calibrator for LLM Forecasting

2026-05-26

Amelia (Hui) Dai, Ryan Teehan, Parsa Torabian, and Mengye Ren

MA-EgoQA: Question Answering over Egocentric Videos from Multiple Embodied Agents

2026-03-10

Kangsan Kim, Yanlai Yang, Suji Kim, Woongyeong Yeo, Youngwan Lee, Mengye Ren, and Sung Ju Hwang

When Does Verification Pay Off? A Closer Look at LLMs as Solution Verifiers

2025-12-02

Jack Lu, Ryan Teehan, Jinran Jin, and Mengye Ren

In-Context Clustering with Large Language Models

2025-10-09

Ying Wang, Mengye Ren, and Andrew Gordon Wilson

StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding

2025-08-21

Yanlai Yang, Zhuokai Zhao, Satya Narayan Shukla, Aashu Singh, Shlok Kumar Mishra, Lizhu Zhang, and Mengye Ren

Context Tuning for In-Context Optimization

2025-07-06

Jack Lu, Ryan Teehan, Zhenbang Yang, and Mengye Ren

Are LLMs Prescient? A Continuous Evaluation using Daily News as Oracle

2024-11-13

Amelia (Hui) Dai, Ryan Teehan, and Mengye Ren

CoLLEGe: Concept Embedding Generation for Large Language Models

2024-03-22

Ryan Teehan, Brenden M. Lake, and Mengye Ren

Learning and Forgetting Unsafe Examples in Large Language Models

2023-12-20

Jiachen Zhao, Zhun Deng, David Madras, James Zou, and Mengye Ren

LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos

2023-12-07

Ying Wang, Yanlai Yang, and Mengye Ren