Papers by Athul Jacob
AutoReply: Detecting Nonsense in Dialogue with Discriminative Replies (2023.findings-emnlp)
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| Challenge: | Existing models for dialogue detection make many errors in their own messages . a dataset of long dialogues richly grounded in the game state contains many errors . |
| Approach: | They propose to use an annotated dialogue dataset to generate automatic responses for dialogue models. |
| Outcome: | The proposed model outperforms handcrafted replies and performs on par with supervised learning approaches. |
Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning (2024.naacl-long)
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| Challenge: | Existing computational models of pragmatics are implemented as recursive reasoning procedures, in which listeners interpret utterances by reasoning about the intentions of less-sophisticated speakers. |
| Approach: | They propose a game-theoretic model of pragmatics that combines a recursive reasoning model with a regularized conventions model to obtain principled pragmatic language generation procedures. |
| Outcome: | The proposed model matches or improves predictions made by iterated best response and Rational Speech Acts models of language understanding. |