Shichao Sun

Orcid: 0000-0001-7943-0596

According to our database1, Shichao Sun authored at least 30 papers between 2013 and 2024.

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Bibliography

2024
Dialogue acts enhanced extract-abstract framework for meeting summarization.
Inf. Process. Manag., March, 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation.
CoRR, 2024

OpenResearcher: Unleashing AI for Accelerated Scientific Research.
CoRR, 2024

FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models.
CoRR, 2024

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI.
CoRR, 2024

The Critique of Critique.
CoRR, 2024

Contrastive Preference Learning for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Generative Judge for Evaluating Alignment.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Recovery Should Never Deviate from Ground Truth: Mitigating Exposure Bias in Neural Machine Translation.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

The Critique of Critique.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Dissecting Human and LLM Preferences.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
CACC Simulation Platform Designed for Urban Scenes.
IEEE Trans. Intell. Veh., April, 2023

Evolving Large Language Model Assistant with Long-Term Conditional Memory.
CoRR, 2023

Aligning Language Models with Human Preferences via a Bayesian Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Adaptive Passivity-Based Controller for Boost Converter Supplying Constant Power Load.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Load Change Assessment-Based Feedforward Compensation for FCS-MPCC Used in PMSMs Considering Load Disturbances.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Data Selection Curriculum for Abstractive Text Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Empirical Analysis of Beam Search Curse and Search Errors with Model Errors in Neural Machine Translation.
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

Separating Context and Pattern: Learning Disentangled Sentence Representations for Low-Resource Extractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Reducing external container trucks' turnaround time in ports: A data-driven approach under truck appointment systems.
Comput. Ind. Eng., 2022

Rethinking the framework constructed by counterfactual functional model.
Appl. Intell., 2022

A Medical Device Management System Using Smart Contract on Blockchain.
Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization.
CoRR, 2021

2019
A Goal-Driven Tree-Structured Neural Model for Math Word Problems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
BiLSTM-Based Models for Metaphor Detection.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

2014
How to find the optimal paths in stochastic time-dependent transportation networks?
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
Min-max regret approach to the optimal path finding problem in stochastic time-dependent networks.
Proceedings of the 11th International Symposium on Autonomous Decentralized Systems, 2013


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