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TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.

, , , , , , , , , , , , , and . EMNLP, page 11594-11632. Association for Computational Linguistics, (2023)

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Do Large Language Models Know about Facts?, , , , , , and . CoRR, (2023)AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web., , and . CoRR, (2023)Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence., , , , and . SIGIR, page 2319-2323. ACM, (2023)MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media., , , , and . SIGIR, page 2901-2912. ACM, (2023)Learning From Correctness Without Prompting Makes LLM Efficient Reasoner., , , , , , , , and . CoRR, (2024)Uncovering Main Causalities for Long-tailed Information Extraction., , , , and . EMNLP (1), page 9683-9695. Association for Computational Linguistics, (2021)DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning., , , , , , , , , and 3 other author(s). CoRR, (2023)Do We Need Language-Specific Fact-Checking Models? The Case of Chinese., , and . CoRR, (2024)Scene Graph Modification as Incremental Structure Expanding., , , , and . COLING, page 5707-5720. International Committee on Computational Linguistics, (2022)METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets., , , , , , , , and . NeurIPS, (2022)