Yash More

15 papers A 2C 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Broken Chains: The Cost of Incomplete Reasoning in LLMs.
CoRR
Ian Su, Gaurav Purushothaman, Jey Narayan, Ruhika Goel, Kevin Zhu, Sunishchal Dev, Yash More, Maheep Chaudhary
2025 — conf
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset.
NAACL (Long Papers)
Khaoula Chehbouni, Jonathan Colaço Carr, Yash More, Jackie CK Cheung, Golnoosh Farnadi
2025 J jnl
Calibrated Reasoning: An Explanatory Verifier for Dynamic and Efficient Problem-Solving.
CoRR
Anisha Garg, Engin Tekin, Yash More, David Bick, Nishit Neema, Ganesh Venkatesh
2025 J jnl
Towards More Realistic Extraction Attacks: An Adversarial Perspective.
Trans. Assoc. Comput. Linguistics
Yash More, Prakhar Ganesh, Golnoosh Farnadi
2024 J jnl
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset.
CoRR
Khaoula Chehbouni, Jonathan Colaço Carr, Yash More, Jackie C. K. Cheung, Golnoosh Farnadi
2024 J jnl
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs.
CoRR
Megh Thakkar, Yash More, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2024 J jnl
Controlling Delegations in Liquid Democracy.
CoRR
Shiri Alouf-Heffetz, Tanmay Inamdar, Pallavi Jain, Yash More, Nimrod Talmon
2024 J jnl
Efficient Causal Graph Discovery Using Large Language Models.
CoRR
Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio
2024 A conf
Opinion Diffusion on Society Graphs Based on Approval Ballots.
AAMAS
Jayakrishnan Madathil, Neeldhara Misra, Yash More
2024 J jnl
Towards More Realistic Extraction Attacks: An Adversarial Perspective.
CoRR
Yash More, Prakhar Ganesh, Golnoosh Farnadi
2024 J jnl
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild.
CoRR
Niloofar Mireshghallah, Maria Antoniak, Yash More, Yejin Choi, Golnoosh Farnadi
2023 C conf
Finding Perfect Matching Cuts Faster.
IWOCA
Neeldhara Misra, Yash More
2022 J jnl
Scotch: An Efficient Secure Computation Framework for Secure Aggregation.
CoRR
Arup Mondal, Yash More, Prashanthi Ramachandran, Priyam Panda, Harpreet Virk, Debayan Gupta
2021 J jnl
Flatee: Federated Learning Across Trusted Execution Environments.
CoRR
Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, Debayan Gupta
2021 A conf
Poster: FLATEE: Federated Learning Across Trusted Execution Environments.
EuroS&P
Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, Debayan Gupta