Papers by Neeladri Bhuiya
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? (2024.emnlp-main)
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| Challenge: | State-of-the-art Large Language Models (LLMs) are accredited with a number of different capabilities, including reading comprehension, mathematical and reasoning skills, and possessing scientific knowledge. |
| Approach: | They propose a benchmark to generate seemingly plausible multi-hop reasoning chains that ultimately lead to incorrect answers. |
| Outcome: | The proposed model circumvents the reasoning requirement but in subtle ways . it shows that it is more difficult to generate plausible alternatives . |