Sunishchal Dev

According to our database, Sunishchal Dev authored at least 24 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Seven simple steps for log analysis in AI systems.

Magda Dubois, Ekin Zorer, Maia Hamin, Joe Skinner, Alexandra Souly, Jerome Wynne, Harry Coppock, Lucas Sato, Sayash Kapoor, Sunishchal Dev, Keno Juechems, Kimberly T. Mai, Timo Flesch, Lennart Luettgau, Charles Teague, Eric Patey, JJ Allaire, Lorenzo Pacchiardi, José Hernández-Orallo, Cozmin Ududec

CoRR, April, 2026

The science and practice of proportionality in AI risk evaluations.

Carlos Mougan, Lauritz Morlock, Jair Aguirre, James R. M. Black, Jan Brauner, Siméon Campos, Sunishchal Dev, David Fernández Llorca, Alberto Franzin, Mario Fritz, Emilia Gómez, Friederike Grosse-Holz, Eloise Hamilton, Max Hasin, José Hernández-Orallo, Dan Lahav, Luca Massarelli, Vasilios Mavroudis, Malcolm Murray, Patricia Paskov, Jaime Raldua, Wout Schellaert

CoRR, March, 2026

Judge Reliability Harness: Stress Testing the Reliability of LLM Judges.

Sunishchal Dev, Andrew Sloan, Joshua Kavner, Nicholas Kong, Morgan Sandler

CoRR, March, 2026

Broken Chains: The Cost of Incomplete Reasoning in LLMs.

Ian Su, Gaurav Purushothaman, Jey Narayan, Ruhika Goel, Kevin Zhu, Sunishchal Dev, Yash More, Maheep Chaudhary

CoRR, February, 2026

ProMoral-Bench: Evaluating Prompting Strategies for Moral Reasoning and Safety in LLMs.

Rohan Subramanian Thomas, Shikhar Shiromani, Abdullah Chaudhry, Ruizhe Li, Vasu Sharma, Kevin Zhu, Sunishchal Dev

CoRR, February, 2026

Visualizing and Benchmarking LLM Factual Hallucination Tendencies via Internal State Analysis and Clustering.

Nathan Mao, Varun Kaushik, Shreya Shivkumar, Parham Sharafoleslami, Kevin Zhu, Sunishchal Dev

CoRR, February, 2026

A Few Bad Neurons: Isolating and Surgically Correcting Sycophancy.

Claire O'Brien, Jessica Seto, Dristi Roy, Aditya Dwivedi, Sunishchal Dev, Kevin Zhu, Sean O'Brien, Ashwinee Panda, Ryan Lagasse

CoRR, January, 2026

2025

Emergent Persuasion: Will LLMs Persuade Without Being Prompted?

Vincent Chang, Thee Ho, Sunishchal Dev, Kevin Zhu, Shi Feng, Kellin Pelrine, Matthew Kowal

CoRR, December, 2025

Peek-a-Boo Reasoning: Contrastive Region Masking in MLLMs.

Isha Chaturvedi, Anjana Nair, Yushen Li, Adhitya Rajendra Kumar, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma

CoRR, December, 2025

COMPASS: Context-Modulated PID Attention Steering System for Hallucination Mitigation.

Kenji Sahay, Snigdha Pandya, Rohan Nagale, Anna Lin, Shikhar Shiromani, Kevin Zhu, Sunishchal Dev

CoRR, November, 2025

Sumudu Neural Operator for ODEs and PDEs.

Ben Zelenskiy, Saibilila Abudukelimu, George Flint, Kevin Zhu, Sunishchal Dev

CoRR, November, 2025

Modeling and Predicting Multi-Turn Answer Instability in Large Language Models.

Jiahang He, Rishi Ramachandran, Neel Ramachandran, Aryan Katakam, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Aryan Shrivastava

CoRR, November, 2025

SALT: Steering Activations towards Leakage-free Thinking in Chain of Thought.

Shourya Batra, Pierce Tillman, Samarth Gaggar, Shashank Kesineni, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary

CoRR, November, 2025

Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals.

Sophie Li, Nicholas Huang, Nayan Saxena, Nina Luo, Vincent Lin, Kevin Zhu, Sunishchal Dev

CoRR, November, 2025

DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code.

Shriyansh Agrawal, Aidan Lau, Sanyam Shah, Ahan M. R, Kevin Zhu, Sunishchal Dev, Vasu Sharma

CoRR, October, 2025

AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AI.

Manik Rana, Calissa Man, Anotida Expected Msiiwa, Jeffrey Paine, Kevin Zhu, Sunishchal Dev, Vasu Sharma, Ahan M. R

CoRR, October, 2025

Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic Games.

Chris Su, Harrison Li, Matheus Marques, George Flint, Kevin Zhu, Sunishchal Dev

CoRR, October, 2025

Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs.

Nikita Afonin, Nikita Andriyanov, Nikhil Bageshpura, Kyle Liu, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Alexander Panchenko, Oleg Rogov, Elena Tutubalina, Mikhail Seleznyov

CoRR, October, 2025

PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases.

Sri Vatsa Vuddanti, Aarav Shah, Satwik Kumar Chittiprolu, Tony Song, Sunishchal Dev, Kevin Zhu, Maheep Chaudhary

CoRR, September, 2025

Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization.

Nathan Egbuna, Saatvik Gaur, Sunishchal Dev, Ashwinee Panda, Maheep Chaudhary

CoRR, September, 2025

FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness.

Anand Swaroop, Akshat Nallani, Saksham Uboweja, Adiliia Uzdenova, Michael Nguyen, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary

CoRR, September, 2025

Recommendations and Reporting Checklist for Rigorous & Transparent Human Baselines in Model Evaluations.

Kevin L. Wei, Patricia Paskov, Sunishchal Dev, Michael J. Byun, Anka Reuel, Xavier Roberts-Gaal, Rachel Calcott, Evie Coxon, Chinmay Deshpande

CoRR, June, 2025

RAPTOR: Reasoned Agentic Portfolio Trading with Orchestrated Rebalancing.

Blake Almon, Matthew Caliboso, Alex Kim, Rohan Dutta, Rohan Raman, Mithil Srungarapu, Vasu Sharma, Kevin Zhu, Sunishchal Dev

Proceedings of the 1st Workshop on Knowledge Graphs & Agentic Systems Interplay (NORA 2025) co-located with the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), 2025

Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist).

Kevin L. Wei, Patricia Paskov, Sunishchal Dev, Michael J. Byun, Anka Reuel, Xavier Roberts-Gaal, Rachel Calcott, Evie Coxon, Chinmay Deshpande

Proceedings of the Forty-second International Conference on Machine Learning, 2025