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2020 – today
- 2026
[i9]Luo Ji, Qi Qin, Ningyuan Xi, Teng Chen, Qingqing Gu, Hongyan Li
:
Learn-to-learn on Arbitrary Textual Conditioning: A Hypernetwork-Driven Meta-Gated LLM. CoRR abs/2605.01973 (2026)- [i8]Ningyuan Xi, Hao Xu, Hongsheng Xin, Ning Miao:
TD-Grokking: Learning from Zero-Reward Problems by Training-Time Decomposition. CoRR abs/2606.09883 (2026) - 2025
- [c5]Luo Ji, Feixiang Guo, Teng Chen, Qingqing Gu, Xiaoyu Wang, Ningyuan Xi, Yihong Wang, Peng Yu, Yue Zhao, Hongyang Lei, Zhonglin Jiang, Yong Chen:
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval. ECIR (3) 2025: 284-293 - [c4]Yue Zhao, Xiaoyu Wang, Dan Wang, Zhonglin Jiang, Qingqing Gu, Teng Chen, Ningyuan Xi, Jinxian Qu, Yong Chen, Luo Ji:
Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling. EMNLP (Findings) 2025: 4764-4781 - [c3]Xiaoyu Wang, Ningyuan Xi, Qingqing Gu, Luo Ji:
Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation. IJCNN 2025: 1-9 - [c2]Ningyuan Xi, Xiaoyu Wang, Yetao Wu, Teng Chen, Qingqing Gu, Luo Ji:
MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning. IJCNN 2025: 1-9 - [c1]Ningyuan Xi, Yetao Wu, Kun Fan, Teng Chen, Qingqing Gu, Luo Ji:
A Practice of Post-training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio. PAKDD (5) 2025: 28-39 - [i7]Yihong Wang, Zhonglin Jiang, Ningyuan Xi, Yue Zhao, Qingqing Gu, Xiyuan Chen, Hao Wu, Sheng Xu, Hange Zhou, Yong Chen, Luo Ji:
Making Language Model a Hierarchical Classifier and Generator. CoRR abs/2507.12930 (2025) - [i6]Yue Zhao, Xiaoyu Wang, Dan Wang, Zhonglin Jiang, Qingqing Gu, Teng Chen, Ningyuan Xi, Jinxian Qu, Yong Chen, Luo Ji:
Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling. CoRR abs/2508.16876 (2025) - 2024
- [i5]Yetao Wu, Yihong Wang, Teng Chen, Chenxi Liu, Ningyuan Xi, Qingqing Gu, Hongyang Lei, Zhonglin Jiang, Yong Chen, Luo Ji:
Alleviating Hallucinations in Large Language Models with Scepticism Modeling. CoRR abs/2409.06601 (2024) - [i4]Ningyuan Xi, Yetao Wu, Kun Fan, Teng Chen, Qingqing Gu, Peng Yu, Jinxian Qu, Chenxi Liu, Zhonglin Jiang, Yong Chen, Luo Ji:
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio. CoRR abs/2409.06624 (2024) - [i3]Ningyuan Xi, Xiaoyu Wang, Yetao Wu, Teng Chen, Qingqing Gu, Jinxian Qu, Zhonglin Jiang, Yong Chen, Luo Ji:
Dual-Layer Training and Decoding of Large Language Model with Simultaneously Thinking and Speaking. CoRR abs/2409.12059 (2024) - [i2]Xiaoyu Wang, Ningyuan Xi, Teng Chen, Qingqing Gu, Yue Zhao, Xiaokai Chen, Zhonglin Jiang, Yong Chen, Luo Ji:
Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation. CoRR abs/2412.05342 (2024) - [i1]Luo Ji, Feixiang Guo, Teng Chen, Qingqing Gu, Xiaoyu Wang, Ningyuan Xi, Yihong Wang, Peng Yu, Yue Zhao, Hongyang Lei, Zhonglin Jiang, Yong Chen:
Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval. CoRR abs/2412.16615 (2024)
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