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2020 – today
- 2026
[c8]Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Zhan Shi, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin:
A Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning. ACL (Findings) 2026: 10506-10531- [i15]Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang:
How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR abs/2602.00528 (2026) - [i14]Wenbo Pan, Shujie Liu, Chin-Yew Lin, Jingying Zeng, Xianfeng Tang, Xiangyang Zhou, Yan Lu, Xiaohua Jia:
Evolving Agents in the Dark: Retrospective Harness Optimization via Self-Preference. CoRR abs/2606.05922 (2026) - 2025
- [c7]Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He, Hui Liu:
A General Framework to Enhance Fine-tuning-based LLM Unlearning. ACL (Findings) 2025: 18464-18476 - [c6]Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He:
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. ACL (Findings) 2025: 18581-18597 - [c5]Jinning Li
, Ruipeng Han, Jingying Zeng, Dachun Sun, Chenkai Sun, Hanghang Tong, ChengXiang Zhai, Boleslaw K. Szymanski, Tarek F. Abdelzaher:
Learning to Slice: Self-Supervised Interpretable Hierarchical Representation Learning with Graph Auto-Encoder Tree. KDD (2) 2025: 1388-1399 - [c4]Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu Aggarwal, Hui Liu:
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. NeurIPS 2025 - [c3]Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zhen Li, Xianfeng Tang, Qi He, Suhang Wang:
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. NeurIPS 2025 - [c2]Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang:
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. SIGIR 2025: 4244-4248 - [i13]Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He:
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. CoRR abs/2502.13260 (2025) - [i12]Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He:
A General Framework to Enhance Fine-tuning-based LLM Unlearning. CoRR abs/2502.17823 (2025) - [i11]Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang:
How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. CoRR abs/2502.18387 (2025) - [i10]Jingying Zeng, Hui Liu, Zhenwei Dai, Xianfeng Tang, Chen Luo, Samarth Varshney, Zhen Li, Qi He:
Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents. CoRR abs/2503.04830 (2025) - [i9]Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zheng Li, Qi He, Xianfeng Tang:
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. CoRR abs/2503.13518 (2025) - [i8]Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal, Hui Liu:
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR abs/2506.00359 (2025) - [i7]Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He:
Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. CoRR abs/2506.02546 (2025) - [i6]Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang:
Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. CoRR abs/2507.07375 (2025) - [i5]Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang:
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. CoRR abs/2508.00890 (2025) - [i4]Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin:
Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search. CoRR abs/2509.25420 (2025) - 2024
- [c1]Jinning Li, Ruipeng Han, Chenkai Sun, Dachun Sun, Ruijie Wang, Jingying Zeng, Yuchen Yan, Hanghang Tong, Tarek F. Abdelzaher:
Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. ICCCN 2024: 1-9 - [i3]Jingying Zeng, Richard Huang, Waleed Malik, Langxuan Yin, Bojan Babic, Danny Shacham, Xiao Yan, Jaewon Yang, Qi He:
Large Language Models for Social Networks: Applications, Challenges, and Solutions. CoRR abs/2401.02575 (2024) - [i2]Liangru Xie, Hui Liu, Jingying Zeng, Xianfeng Tang, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Qi He:
A Survey of Calibration Process for Black-Box LLMs. CoRR abs/2412.12767 (2024) - 2023
- [i1]Jingying Zeng, Jaewon Yang, Waleed Malik, Xiao Yan, Richard Huang, Qi He:
Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling. CoRR abs/2312.12457 (2023)
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