Papers by Fenil Bardoliya
Map&Make: Schema Guided Text to Table Generation (2025.acl-long)
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| Challenge: | Existing methods for text-to-table generation overlook what complex information to extract and how to infer it from text. |
| Approach: | They propose a method that decomposes text into atomic propositions to infer latent schemas. |
| Outcome: | The proposed method shows significant gains in accuracy and interpretability on three datasets. |
Program-of-Thought Reveals LLM Abstraction Ceilings (2026.findings-eacl)
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| Challenge: | Large language models exhibit reasoning ability when supervised with chain-of-thought (CoT) traces. |
| Approach: | They evaluate large language models with CoT traces and fine-tune them with Program-of-Thought supervision. |
| Outcome: | The proposed model performance degrades sharply under numeric perturbations under isomorphic variants. |