Zhengliang Shi

According to our database1, Zhengliang Shi authored at least 14 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval.
CoRR, 2024

What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks.
CoRR, 2024

Chain of Tools: Large Language Model is an Automatic Multi-tool Learner.
CoRR, 2024

360{\deg}REA: Towards A Reusable Experience Accumulation with 360{\deg} Assessment for Multi-Agent System.
CoRR, 2024

Learning to Use Tools via Cooperative and Interactive Agents.
CoRR, 2024

Learning to Use Tools via Cooperative and Interactive Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.
CoRR, 2023

Towards a Unified Framework for Reference Retrieval and Related Work Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Learning Reduces Hallucination in Conversations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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