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Meng Fang
Publications
- 2023
- [j25]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu, Chengqi Zhang:
Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics 56: 102005 (2023) - [c75]Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy:
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. ACL (1) 2023: 13538-13556 - [c72]Zijing Shi, Yunqiu Xu, Meng Fang, Ling Chen:
Self-imitation Learning for Action Generation in Text-based Games. EACL 2023: 703-726 - [c70]Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad:
Turn-Level Active Learning for Dialogue State Tracking. EMNLP 2023: 7705-7719 - [c69]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang:
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. EMNLP 2023: 8289-8311 - [c68]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad:
CITB: A Benchmark for Continual Instruction Tuning. EMNLP (Findings) 2023: 9443-9455 - [c67]Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du:
Stay Moral and Explore: Learn to Behave Morally in Text-based Games. ICLR 2023 - [i58]Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy:
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. CoRR abs/2305.11262 (2023) - [i50]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang:
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. CoRR abs/2310.07343 (2023) - [i48]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad:
CITB: A Benchmark for Continual Instruction Tuning. CoRR abs/2310.14510 (2023) - [i47]Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad:
Turn-Level Active Learning for Dialogue State Tracking. CoRR abs/2310.14513 (2023) - 2022
- [j16]Yunqiu Xu, Meng Fang, Ling Chen, Gangyan Xu, Yali Du, Chengqi Zhang:
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Trans. Cybern. 52(10): 11107-11120 (2022) - [c57]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. ACL (1) 2022: 538-560 - [c49]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad:
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics. NAACL-HLT 2022: 3886-3893 - [i38]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. CoRR abs/2204.09597 (2022) - [i36]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad:
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics. CoRR abs/2204.09874 (2022) - 2021
- [c44]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang:
Generalization in Text-based Games via Hierarchical Reinforcement Learning. EMNLP (Findings) 2021: 1343-1353 - [i21]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang:
Generalization in Text-based Games via Hierarchical Reinforcement Learning. CoRR abs/2109.09968 (2021) - 2020
- [c38]Yunqiu Xu, Ling Chen, Meng Fang, Yang Wang, Chengqi Zhang:
Deep Reinforcement Learning with Transformers for Text Adventure Games. CoG 2020: 65-72 - [c36]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. NeurIPS 2020 - [i17]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. CoRR abs/2010.11655 (2020)
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