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2020 – today
- 2026
[c6]Tian Bai, Fedor V. Fomin, Petr A. Golovach, Yash Hiren More, Simon Wietheger:
Clustering Permutations Under the Ulam Metric: A Parameterized Complexity Study. ICALP 2026: 19:1-19:23- [i11]Ian Su, Gaurav Purushothaman, Jey Narayan, Ruhika Goel, Kevin Zhu, Sunishchal Dev, Yash More, Maheep Chaudhary:
Broken Chains: The Cost of Incomplete Reasoning in LLMs. CoRR abs/2602.14444 (2026) - [i10]Tian Bai, Fedor V. Fomin, Petr A. Golovach, Yash Hiren More, Simon Wietheger:
Clustering Permutations under the Ulam Metric: A Parameterized Complexity Study. CoRR abs/2604.25734 (2026) - 2025
- [j1]Yash More, Prakhar Ganesh, Golnoosh Farnadi:
Towards More Realistic Extraction Attacks: An Adversarial Perspective. Trans. Assoc. Comput. Linguistics 13: 1832-1849 (2025) - [c5]Khaoula Chehbouni, Jonathan Colaço Carr, Yash More, Jackie CK Cheung, Golnoosh Farnadi:
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. NAACL (Long Papers) 2025: 11895-11925 - [i9]Anisha Garg, Engin Tekin, Yash More, David Bick, Nishit Neema, Ganesh Venkatesh:
Calibrated Reasoning: An Explanatory Verifier for Dynamic and Efficient Problem-Solving. CoRR abs/2509.19681 (2025) - 2024
- [c4]Jayakrishnan Madathil, Neeldhara Misra, Yash More:
Opinion Diffusion on Society Graphs Based on Approval Ballots. AAMAS 2024: 2372-2374 - [c3]Shiri Alouf-Heffetz, Tanmay Inamdar, Pallavi Jain, Nimrod Talmon, Yash More Hiren:
Controlling Delegations in Liquid Democracy. AAMAS 2024: 2624-2632 - [i8]Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio:
Efficient Causal Graph Discovery Using Large Language Models. CoRR abs/2402.01207 (2024) - [i7]Shiri Alouf-Heffetz, Tanmay Inamdar, Pallavi Jain, Yash More, Nimrod Talmon:
Controlling Delegations in Liquid Democracy. CoRR abs/2403.07558 (2024) - [i6]Yash More, Prakhar Ganesh, Golnoosh Farnadi
:
Towards More Realistic Extraction Attacks: An Adversarial Perspective. CoRR abs/2407.02596 (2024) - [i5]Niloofar Mireshghallah, Maria Antoniak, Yash More, Yejin Choi, Golnoosh Farnadi:
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild. CoRR abs/2407.11438 (2024) - [i4]Megh Thakkar, Yash More, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar:
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs. CoRR abs/2411.06824 (2024) - [i3]Khaoula Chehbouni, Jonathan Colaço Carr, Yash More, Jackie C. K. Cheung, Golnoosh Farnadi:
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. CoRR abs/2411.08243 (2024) - 2023
- [c2]Neeldhara Misra, Yash More:
Finding Perfect Matching Cuts Faster. IWOCA 2023: 307-318 - 2022
- [i2]Arup Mondal, Yash More, Prashanthi Ramachandran, Priyam Panda, Harpreet Virk, Debayan Gupta:
Scotch: An Efficient Secure Computation Framework for Secure Aggregation. CoRR abs/2201.07730 (2022) - 2021
- [c1]Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, Debayan Gupta:
Poster: FLATEE: Federated Learning Across Trusted Execution Environments. EuroS&P 2021: 707-709 - [i1]Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, Debayan Gupta:
Flatee: Federated Learning Across Trusted Execution Environments. CoRR abs/2111.06867 (2021)
Coauthor Index
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