Baolong Bi

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models

STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering

Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning

a1: Steep Test-time Scaling Law via Environment Augmented Generation

Lost in Time: Systematic Temporal Bias in Large Audio Language Models

Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking

Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation

Reinforced Lifelong Editing for Language Models

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts