Moxin Li

Orcid: 0009-0008-8806-2893

According to our database1, Moxin Li authored at least 29 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning.
CoRR, July, 2025

Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge.
CoRR, May, 2025

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation.
CoRR, May, 2025

Affiliation homogeneity and scientific impact: A comparative study across nations.
J. Informetrics, 2025

Executive alumni networks: Catalysts or constraints for innovation in China's listed firms?
J. Data Inf. Sci., 2025

Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery.
Proceedings of the Data Science: Foundations and Applications, 2025

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Knowledge Boundary of Large Language Models: A Survey.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Influence of political tensions on scientific productivity, citation impact, and knowledge combinations.
Scientometrics, April, 2024

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.
CoRR, 2024

Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions.
CoRR, 2024

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data.
CoRR, 2024

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Dual-Phase Accelerated Prompt Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Robust Instruction Optimization for Large Language Models with Distribution Shifts.
CoRR, 2023

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs.
CoRR, 2023

SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Robust Prompt Optimization for Large Language Models Against Distribution Shifts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Hybrid Learning to Rank for Financial Event Ranking.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Learning Sense Representation from Word Representation for Unsupervised Word Sense Disambiguation (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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