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Manasi Patwardhan

Learning to Ideate for Scientific Impact
2026 · Kale, Shubham, Garikaparthi, Aniketh, et al. · arXiv (Cornell University)
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IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications
2026 · Ma, Yiling, Zhao, Yilun, et al. · arXiv (Cornell University)
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ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation
2026 · Ma, Yiling, Zhao, Yilun, et al. · arXiv (Cornell University)
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Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results
2026 · Batzner, Jan, Nelaturu, Sree Harsha, et al. · arXiv (Cornell University)
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Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation
2026 · Association for Computational Linguistics 2026, Garikaparthi, Aniketh, et al. · Underline Science Inc.
SciMDR: Advancing Scientific Multimodal Document Reasoning
2026 · Association for Computational Linguistics 2026, Chen, Ziyu, et al. · Underline Science Inc.
Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
2026 · Association for Computational Linguistics 2026, Cohan, Arman, et al. · Underline Science Inc.
Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation
2026 · Mule, Srujan P, Garikaparthi, Aniketh, et al. · arXiv (Cornell University)
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REVERE: Reflective Evolving Research Engineer
2026 · Gangireddi, Balaji Dinesh, Garikaparthi, Aniketh, et al. · arXiv (Cornell University)
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LLM Driven Business Rule Extraction from Enterprise Applications
2026 · Shrishti Pradhan, Aishwarya Malvade, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
SciMDR: Advancing Scientific Multimodal Document Reasoning
2026 · Ziyu Chen, Yilun Zhao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Can Scientific Claims Be Removed from Large Language Models? A Systematic Evaluation of Claim-Level Unlearning
2026 · Snigdha Paul, Manasi Patwardhan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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BackTrend: Evaluating Scientific Weak-Signal Prediction via Backward Reconstruction
2026 · Xiao Zhou, Yilun Zhao, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 13
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