Papers by Harsh Kohli
GroundCocoa: A Benchmark for Evaluating Compositional & Conditional Reasoning in Language Models (2025.naacl-long)
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| Challenge: | Existing LLMs excel and often surpass human performance on benchmarks, but they are known to falter in simple tasks and under seemingly straightforward circumstances. |
| Approach: | They propose a benchmark to assess compositional and conditional reasoning within a flight booking task. |
| Outcome: | The proposed model outperforms existing models on the flight booking task with a 67% accuracy rate. |
How Lexical is Bilingual Lexicon Induction? (2024.findings-naacl)
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| Challenge: | lexical variation and low-resource settings make it difficult to learn in low-level settings. |
| Approach: | They propose to incorporate additional lexical information into the retrieve-and-rank approach to improve lexicon induction. |
| Outcome: | The proposed approach improves on XLING by an average of 2% across all language pairs. |