Papers by Avyakta Chelle
Okay, Let’s Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation (2024.naacl-long)
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| Challenge: | Recent work shows that generative large language models (LLMs) can be used to solve cross-document coreference problems. |
| Approach: | They propose rationale-oriented event clustering and knowledge distillation methods for event coreference scoring that leverage enriched information from the FTRs for improved CDCR. |
| Outcome: | The proposed model achieves SOTA B3 F1 on the ECB+ and GVC corpora without additional annotation or expensive document clustering. |
“Any Other Thoughts, Hedgehog?” Linking Deliberation Chains in Collaborative Dialogues (2024.findings-emnlp)
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Abhijnan Nath, Videep Venkatesha, Mariah Bradford, Avyakta Chelle, Austin Youngren, Carlos Mabrey, Nathaniel Blanchard, Nikhil Krishnaswamy
| Challenge: | Recent advances in generative AI have raised the possibility of systems that follow and interact with multiparty dialogues. |
| Approach: | They propose a graph-based framework for probing questions in collaborative dialogues that models causal relations between probing and causal utterances and the links between them. |
| Outcome: | The proposed framework compares to baselines and stronger coreference approaches and establishes a standard of performance in this novel task. |