Meng Cao

Affiliations:
  • McGill University, School of Computer Science, Montreal, QC, Canada


According to our database1, Meng Cao authored at least 15 papers between 2019 and 2025.

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

Timeline

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Links

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Bibliography

2025
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation.
CoRR, May, 2025

Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs.
CoRR, May, 2025

Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Mechanisms of non-factual hallucinations in language models.
CoRR, 2024

Successor Features for Efficient Multi-Subject Controlled Text Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Successor Features for Efficient Multisubject Controlled Text Generation.
CoRR, 2023

Systematic Rectification of Language Models via Dead-end Analysis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Responsible AI Considerations in Text Summarization Research: A Review of Current Practices.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Learning with Rejection for Abstractive Text Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization.
CoRR, 2021

2020
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Factual Error Correction for Abstractive Summarization Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Referring Expression Generation Using Entity Profiles.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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