Nitish Joshi - RankMe

27 papers A* 5Misc 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models. CoRR Anirudh Bharadwaj, Chaitanya Malaviya, Nitish Joshi, Mark Yatskar
2025	J	`jnl`	Is It Thinking or Cheating? Detecting Implicit Reward Hacking by Measuring Reasoning Effort. CoRR Xinpeng Wang, Nitish Joshi, Barbara Plank, Rico Angell, He He
2025	J	`jnl`	Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors. CoRR Chen Yueh-Han, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He
2025	A*	`conf`	Transformers Struggle to Learn to Search. ICLR Abulhair Saparov, Srushti Ajay Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Mehran Kazemi, Najoung Kim, He He
2024	A*	`conf`	LLMs Are Prone to Fallacies in Causal Inference. EMNLP Nitish Joshi, Abulhair Saparov, Yixin Wang, He He
2024	J	`jnl`	LLMs Are Prone to Fallacies in Causal Inference. CoRR Nitish Joshi, Abulhair Saparov, Yixin Wang, He He
2024	J	`jnl`	Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. Trans. Mach. Learn. Res. Aahlad Manas Puli, Nitish Joshi, Yoav Wald, He He, Rajesh Ranganath
2024	A*	`conf`	Personas as a Way to Model Truthfulness in Language Models. EMNLP Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He
2024	J	`jnl`	Transformers Struggle to Learn to Search. CoRR Abulhair Saparov, Srushti Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Seyed Mehran Kazemi, Najoung Kim, He He
2023	—	`conf`	Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. ACL (1) Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
2023	J	`jnl`	Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations. CoRR Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen, He He
2023	J	`jnl`	Personas as a Way to Model Truthfulness in Language Models. CoRR Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He
2023	A*	`conf`	Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. NeurIPS Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He
2023	J	`jnl`	Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples. CoRR Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He
2022	—	`conf`	An Investigation of the (In)effectiveness of Counterfactually Augmented Data. ACL (1) Nitish Joshi, He He
2022	A*	`conf`	Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens. EMNLP Nitish Joshi, Xiang Pan, He He
2022	J	`jnl`	Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens. CoRR Nitish Joshi, Xiang Pan, He He
2022	J	`jnl`	Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. CoRR Aahlad Manas Puli, Nitish Joshi, He He, Rajesh Ranganath
2022	—	`conf`	QuALITY: Question Answering with Long Input Texts, Yes! NAACL-HLT Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman
2021	J	`jnl`	An Investigation of the (In)effectiveness of Counterfactually Augmented Data. CoRR Nitish Joshi, He He
2021	J	`jnl`	Experience of neural machine translation between Indian languages. Mach. Transl. Shubham Dewangan, Shreya Alva, Nitish Joshi, Pushpak Bhattacharyya
2021	J	`jnl`	QuALITY: Question Answering with Long Input Texts, Yes! CoRR Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, Samuel R. Bowman
2020	Misc	`conf`	Coupled Training of Sequence-to-Sequence Models for Accented Speech Recognition. ICASSP Vinit Unni, Nitish Joshi, Preethi Jyothi
2019	—	`conf`	Cross-Lingual Training for Automatic Question Generation. ACL (1) Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi
2019	J	`jnl`	Cross-Lingual Training for Automatic Question Generation. CoRR Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee, Ganesh Ramakrishnan, Preethi Jyothi
2019	—	`conf`	Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. ACL (1) Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal
2019	J	`jnl`	Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. CoRR Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal