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Srinivas Chappidi

Doc-to-Atom: Learning to Compile and Compose Memory Atoms
2026 · Diao, Xingjian, Li, Wenbo, et al. · arXiv (Cornell University)
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VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs
2026 · Association for Computational Linguistics 2026, Amballa, Avinash, et al. · Underline Science Inc.
Switching Heads and Softening Tokens: Turnkey Solutions to Visually Grounded Document QA
2026 · Association for Computational Linguistics 2026, Chappidi, Srinivas, et al. · Underline Science Inc.
Pathfinder: MCTS and LLM Feedback-Based Path Selection for Multi-Hop Question Answering
2026 · Durga Prasad Maram, Kalpa Gunaratna, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
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Exploiting Latent and Implicit Chain of Thought for Efficient Multi-Hop Question Answering
2026 · Hassan Shakil, Vijay Srinivasan, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs
2026 · Avinash Amballa, Yashas Malur Saidutta, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Latent Personal Memory: Represent personal memory as dynamic soft prompts
2026 · Debrup Das, Avinash Amballa, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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TrustMem: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memory
2026 · Tianyu Yang, Sudipta Paul, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Switching Heads and Softening Tokens: Turnkey Solutions to Visually Grounded Document QA
2026 · Ximing Wen, Wenbo Li, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Works count: 9
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