3 citations · 3 across the 13 of their papers we have counts for
13 papers
Woodpecker Distillation: Weak Models Diagnose Reasoning Bugs in Strong Models
Dayu Wang, Jiaye Yang, Weikang Li +4
Large language models often fail on reasoning tasks despite possessing the capability to solve them. We argue that many such failures arise from localized reasoning bugs in interme…
CA-GCL: Cross-Anatomy Global-Local Contrastive Learning for Robust 3D Medical Image Understanding
Hanwen Zhang, Yao Liu, Die Dai +4
Fine-grained Vision-Language Pre-training (FVLP) demonstrates significant potential in 3D medical image understanding by aligning anatomy-level visual representations with correspo…
It Takes 8 Tokens: Weak-to-Strong Off-Policy RL via Auxiliary Branches
Dayu Wang, Jiaye Yang, Weikang Li +4
Reinforcement learning with verifiable rewards has emerged as a standard approach for enhancing reasoning in large language models, which typically optimizes the policy by contrast…
MuDD: A Multimodal Deception Detection Dataset and GSR-Guided Progressive Distillation for Non-Contact Deception Detection
Peiyuan Jiang, Yao Liu, Yanglei Gan +4
Non-contact automatic deception detection remains challenging because visual and auditory deception cues often lack stable cross-subject patterns. In contrast, galvanic skin respon…
InjectFlow: Weak Guides Strong via Orthogonal Injection for Flow Matching
Dayu Wang, Jiaye Yang, Weikang Li +2
Flow Matching (FM) has recently emerged as a leading approach for high-fidelity visual generation, offering a robust continuous-time alternative to ordinary differential equation (…
GenLie: A Global-Enhanced Lie Detection Network under Sparsity and Semantic Interference
Zongshun Zhang, Yao Liu, Qiao Liu +5
Video-based lie detection aims to identify deceptive behaviors from visual cues. Despite recent progress, its core challenge lies in learning sparse yet discriminative representati…
DuCCAE: A Hybrid Engine for Immersive Conversation via Collaboration, Augmentation, and Evolution
Xin Shen, Zhishu Jiang, Jiaye Yang +13
Immersive conversational systems in production face a persistent trade-off between responsiveness and long-horizon task capability. Real-time interaction is achievable for lightwei…
LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts
Yang Liu, Jiaye Yang, Weikang Li +3
We introduce LM-Lexicon, an innovative definition modeling approach that incorporates data clustering, semantic expert learning, and model merging using a sparse mixture-of-experts…
Beyond Alignment: Expanding Reasoning Capacity via Manifold-Reshaping Policy Optimization
Dayu Wang, Jiaye Yang, Weikang Li +2
Reinforcement Learning with Verifiable Rewards (RLVR) has demonstrated remarkable success in enhancing the reasoning capabilities of Large Language Models (LLMs). However, recent s…
Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal Exploration
Dayu Wang, Jiaye Yang, Weikang Li +4
Large Language Models (LLMs) often suffer from ''Reasoning Collapse'' on challenging mathematical reasoning tasks, where stochastic sampling produces lexical variations of the same…
SARHAchat: An LLM-Based Chatbot for Sexual and Reproductive Health Counseling
Jiaye Yang, Xinyu Zhao, Tianlong Chen +1
While Artificial Intelligence (AI) shows promise in healthcare applications, existing conversational systems often falter in complex and sensitive medical domains such as Sexual an…
DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition
Peiyuan Jiang, Yao Liu, Qiao Liu +4
Multimodal emotion recognition (MER) aims to identify emotional states by integrating and analyzing information from multiple modalities. However, inherent modality heterogeneity a…
Reducing Cognitive Overhead in Tool Use via Multi-Small-Agent Reinforcement Learning
Dayu Wang, Yutong Liu, Jiaye Yang +3
Recent advances in multi-agent systems highlight the potential of specialized small agents that collaborate via division of labor. Existing tool-integrated reasoning systems, howev…