Papers by Vinayak Gupta
PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation (2026.findings-acl)
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| Challenge: | Current approaches to proactive assistance are anchored in what users express or can read, leading to unnecessary or mistimed interventions. |
| Approach: | They propose a framework that explicitly models user-specific knowledge gaps in a controlled manner. |
| Outcome: | The proposed framework improves on quality scores and win rates across multiple domains, achieving up to 84% gains in single-turn evaluation and consistent dominance in multiturn interactions. |
Language Models Still Struggle to Zero-shot Reason about Time Series (2024.findings-emnlp)
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| Challenge: | Time series are critical for decision-making in fields like finance and healthcare. |
| Approach: | They propose a framework for time series reasoning that includes formal tasks and a dataset of multi-scale time series paired with text captions across ten domains. |
| Outcome: | The proposed framework combines formal tasks and a dataset of multi-scale time series paired with text captions across ten domains to examine whether language models achieve three forms of reasoning. |