Papers by Varsha Kishore
Diffusion Guided Language Modeling (2024.findings-acl)
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| Challenge: | Existing guidance methods for text generation are prone to decoding errors and degrade performance. |
| Approach: | They propose a model that steers an auto-regressive language model to generate text with desired properties. |
| Outcome: | The proposed model outperforms existing guidance methods on a wide range of benchmark data sets. |
Language Models Don’t Know What You Want: Evaluating Personalization in Deep Research Needs Real Users (2026.acl-long)
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Nishant Balepur, Malachi Hamada, Varsha Kishore, Sergey Feldman, Amanpreet Singh, Pao Siangliulue, Joseph Chee Chang, Eunsol Choi, Jordan Lee Boyd-Graber, Aakanksha Naik
| Challenge: | Earlier research used real users to push personalization, but easy-to-use judges have been criticized for not adopting online studies. |
| Approach: | They propose a personalized action-following tool that infers a user's research interests and proposes personalized actions for a query. |
| Outcome: | The proposed tool beats baselines in citation metrics and personalized action-following with an online version of MySQA. |