collaborators

13 papers

cs.CL2026

SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling

Haoran Xu, Hongyu Wang, Yifei Gao +3

On-policy distillation (OPD) trains a student on its own trajectories with dense per-token supervision from a stronger teacher, and often outperforms off-policy distillation and st…

cs.CV2026

Visual Para-Thinker++: A Single-Policy Multi-Agent Framework for Visual Reasoning

Haoran Xu, Hongyu Wang, Yifei Gao +4

Visual reasoning requires integrating evidence distributed across regions, attributes, and relations, making single-chain reasoning prone to early perceptual commitment and halluci…

cs.CL2026

Backtracking When It Strays: Mitigating Dual Exposure Biases in LLM Reasoning Distillation

Bing Wang, Shaotian Yan, Chen Shen +7

Large language models (LLMs) have achieved remarkable success in complex reasoning tasks via long chain-of-thought (CoT), yet their immense computational overhead hinders real-worl…

cs.CL2026

Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection

Bing Wang, Rui Miao, Ximing Li +6

The rapid spread of misinformation on social media platforms has become a formidable challenge. To mitigate its proliferation, Misinformation Detection (MD) has emerged as a critic…

cs.CL2026

On the Step Length Confounding in LLM Reasoning Data Selection

Bing Wang, Rui Miao, Chen Shen +7

Large reasoning models have recently demonstrated strong performance on complex tasks that require long chain-of-thought reasoning, through supervised fine-tuning on large-scale an…

cs.AI2026

Reasoning Fails Where Step Flow Breaks

Xiaoyu Xu, Yulan Pan, Xiaosong Yuan +4

Large reasoning models (LRMs) that generate long chains of thought now perform well on multi-step math, science, and coding tasks. However, their behavior is still unstable and har…