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- [1] Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 16063 - 16077
- [3] Exploring Reasoning Schemes: A Dataset for Syllogism Figure Identification CHINESE LEXICAL SEMANTICS (CLSW 2020), 2021, 12278 : 445 - 451
- [4] Exploring Reversal Mathematical Reasoning Ability for Large Language Models FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 13671 - 13685
- [5] CR-LLM: A Dataset and Optimization for Concept Reasoning of Large Language Models FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 13737 - 13747
- [6] Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: ACL 2024, 2024, : 5598 - 5621
- [7] MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS - EMNLP 2023, 2023, : 1434 - 1447
- [8] INDIAN-BHED: A Dataset for Measuring India-Centric Biases in Large Language Models PROCEEDINGS OF THE 2024 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY FOR SOCIAL GOOD, GOODIT 2024, 2024, : 231 - 239
- [9] Reasoning in Large Language Models Through Symbolic Math Word Problems FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, 2023, : 5889 - 5903
- [10] Large Language Models Are Reasoning Teachers PROCEEDINGS OF THE 61ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2023): LONG PAPERS, VOL 1, 2023, : 14852 - 14882