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Zhengliang Shi
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Contrastive learning reduces hallucination in conversations
W Sun, Z Shi, S Gao, P Ren, M de Rijke, Z Ren
AAAI 2023 37 (11), 13618-13626, 2023
722023
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
S Gao, Z Shi, M Zhu, B Fang, X Xin, P Ren, Z Chen, J Ma, Z Ren
AAAI 2024, 2023
352023
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
Z Shi, S Zhang, W Sun, S Gao, P Ren, Z Chen, Z Ren
ACL 2024, 2024
172024
Learning to Use Tools via Cooperative and Interactive Agents
Z Shi, S Gao, X Chen, L Yan, H Shi, D Yin, Z Chen, P Ren, S Verberne, ...
EMNLP2024 finding, 2024
162024
Chain of tools: Large language model is an automatic multi-tool learner
Z Shi, S Gao, X Chen, Y Feng, L Yan, H Shi, D Yin, Z Chen, S Verberne, ...
arXiv preprint arXiv:2405.16533, 2024
142024
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue
Z Shi, W Sun, S Zhang, Z Zhang, P Ren, Z Ren
ACL 2023, 2023
82023
Towards a unified framework for reference retrieval and related work generation
Z Shi, S Gao, Z Zhang, X Chen, Z Chen, P Ren, Z Ren
Findings of the Association for Computational Linguistics: EMNLP 2023, 5785-5799, 2023
62023
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks
C Huang, Z Shi, Y Wen, X Chen, P Han, S Gao, S Shang
arXiv preprint arXiv:2407.03007, 2024
12024
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
D Zhu, W Shi, Z Shi, Z Ren, S Wang, L Yan, D Yin
arXiv preprint arXiv:2501.12432, 2025
2025
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
W Sun, Z Shi, J Wu, L Yan, X Ma, Y Liu, M Cao, D Yin, Z Ren
EMNLP 2024, 2024
2024
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Artikler 1–10