Incentivizing Strong Reasoning from Weak Supervision

Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu

• Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026)
• Rabat, Morocco
• Main Track, Oral

(Paper)(Code)(Slides)(Poster)

Inference-time Alignment in Continuous Space

Yige Yuan*, Teng Xiao*, Yunfan Li, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

• Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
• San Diego, California, USA
• Main Track, CCF-A

(Paper)(Code)(Slides)(Poster)

From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment

Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen

• The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)
• Vienna, Austria
• Main Paper

(Paper)(Code)(Slides)(Poster)

Fact-Level Calibration and Correction for Long-Form Generations

Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng

• International ACM Conference on Research and Development in Information Retrieval (SIGIR 2025)
• Padova, Italy
• Short Paper

(Paper)(Code)(Slides)(Poster)

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning

Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng

• International ACM Conference on Research and Development in Information Retrieval (SIGIR 2025)
• Padova, Italy
• Full Paper

(Paper)(Code)(Slides)(Poster)

MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing

Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen

• ACM International Conference on Multimedia (ACMMM 2025)
• Dublin, Ireland
• Regular Paper

(Paper)(Code)(Slides)(Poster)

Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling

Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen

• International World Wide Web Conference (WWW 2025)
• Sydney, Austria
• Companion Paper

(Paper)

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters

Teng Xiao*, Yige Yuan*, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G Honavar

• The Thirteenth International Conference on Learning Representations (ICLR 2025)
• Singapore EXPO
• Main Track

(Paper)(Code)(Slides)(Poster)

Direct Imitation Learning: RLHF Secretly Performs Imitation Learning

Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G Honavar

• The Thirteenth International Conference on Learning Representations (ICLR 2025)
• Singapore EXPO
• Main Track

(Paper)(Code)(Slides)(Poster)

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment

Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G Honavar

• Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
• Vancouver, Canada
• Main Track, CCF-A

(Paper)(Code)(Slides)(Poster)

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective

Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G Honavar

• The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)
• Miami, Florida, USA
• Main Paper, CCF-B

(Paper)(Code)(Slides)(Poster)

MITA: Bridging the Gap between Model and Data for Test-time Adaptation

Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

• arXiv preprint arXiv:2410.09398

(Paper)(Code)(Slides)(Poster)

Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning

Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen and Xueqi Cheng

• International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)
• Washington D.C., USA
• Short Paper, CCF-A

(Paper)(Code)(Slides)(Poster)

TEA: Test-time Energy Adaptation

Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

• IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR 2024)
• Seattle WA, USA
• Main Track, CCF-A

(Paper)(Code)(Slides)(Poster)

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

• Annual AAAI Conference on Artificial Intelligence (AAAI 2024)
• Vancouver, Canada
• Main Track, CCF-A

(Paper)(Code)(Slides)(Poster)

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective

Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng

• Neural Networks (NN), Volume 172, April 2024
• Elsevier, IF=8.4, Q1, CCF-B

(Paper)(Code)(Slides)(Poster)

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training

Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng

• Annual Conference on Neural Information Processing Systems (NeurIPS 2023)
• New Orleans, Louisiana, USA
• Main Track, CCF-A

(Paper)(Code)(Slides)(Poster)(Video)