Samyadeep Basu

52 papers A* 11Misc 1Journal 34Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Survey on LLM-based Conversational User Simulation. EACL (Volume 1: Long Papers) Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi
2026	—	`conf`	Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models. EACL (Volume 1: Long Papers) Sriram Balasubramanian, Samyadeep Basu, Koustava Goswami, Ryan Anthony Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka
2026	J	`jnl`	Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis. CoRR Runzhou Liu, Hailey Weingord, Sejal Mittal, Prakhar Dungarwal, Anusha Nandula, Bo Ni, Samyadeep Basu, Hongjie Chen, Nesreen K. Ahmed, Li Li, Jiayi Zhang, Koustava Goswami, Subhojyoti Mukherjee, Branislav Kveton, Puneet Mathur, Franck Dernoncourt, Yue Zhao, Yu Wang, Ryan A. Rossi, Zhengzhong Tu, Hongru Du
2026	J	`jnl`	Reasoning-Based Personalized Generation for Users with Sparse Data. CoRR Bo Ni, Branislav Kveton, Samyadeep Basu, Subhojyoti Mukherjee, Leyao Wang, Franck Dernoncourt, Sungchul Kim, Seunghyun Yoon, Zichao Wang, Ruiyi Zhang, Puneet Mathur, Jihyung Kil, Jiuxiang Gu, Nedim Lipka, Yu Wang, Ryan A. Rossi, Tyler Derr
2025	—	`conf`	A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models. EMNLP (Findings) Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
2025	J	`jnl`	A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models. CoRR Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
2025	J	`jnl`	A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. CoRR Li Li, Peilin Cai, Ryan A. Rossi, Franck Dernoncourt, Branislav Kveton, Junda Wu, Tong Yu, Linxin Song, Tiankai Yang, Yuehan Qin, Nesreen K. Ahmed, Samyadeep Basu, Subhojyoti Mukherjee, Ruiyi Zhang, Zhengmian Hu, Bo Ni, Yuxiao Zhou, Zichao Wang, Yue Huang, Yu Wang, Xiangliang Zhang, Philip S. Yu, Xiyang Hu, Yue Zhao
2025	J	`jnl`	A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. CoRR Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang
2025	Misc	`conf`	A Survey on Small Language Models. RANLP Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
2025	J	`jnl`	Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models. CoRR Sriram Balasubramaniam, Samyadeep Basu, Koustava Goswami, Ryan A. Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka
2025	J	`jnl`	Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis. CoRR Anushka Yadav, Isha Nalawade, Srujana Pillarichety, Yashwanth Babu, Reshmi Ghosh, Samyadeep Basu, Wenlong Zhao, Ali Nasaeh, Sriram Balasubramanian, Soundararajan Srinivasan
2025	J	`jnl`	Localizing Knowledge in Diffusion Transformers. CoRR Arman Zarei, Samyadeep Basu, Keivan Rezaei, Zihao Lin, Sayan Nag, Soheil Feizi
2025	J	`jnl`	MLLM as a UI Judge: Benchmarking Multimodal LLMs for Predicting Human Perception of User Interfaces. CoRR Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Samyadeep Basu, Sungchul Kim, Subhojyoti Mukherjee, Puneet Mathur, Ruiyi Zhang, Jihyung Kil, Nedim Lipka, Seunghyun Yoon, Jiuxiang Gu, Zichao Wang, Cindy Xiong Bearfield, Branislav Kveton
2025	—	`conf`	Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement. PerCom Workshops Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Adrienne Raglin, Anjon Basak, Soheil Feizi
2025	J	`jnl`	On Mechanistic Circuits for Extractive Question-Answering. CoRR Samyadeep Basu, Vlad I. Morariu, Zichao Wang, Ryan A. Rossi, Cherry Zhao, Soheil Feizi, Varun Manjunatha
2025	A*	`conf`	Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models. ICLR Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi
2025	J	`jnl`	SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control. CoRR Arman Zarei, Samyadeep Basu, Mobina Pournemat, Sayan Nag, Ryan A. Rossi, Soheil Feizi
2024	J	`jnl`	A Survey of Small Language Models. CoRR Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen
2024	A*	`conf`	Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP. NeurIPS Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
2024	J	`jnl`	Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP. CoRR Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
2024	A*	`conf`	Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. EMNLP Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi
2024	J	`jnl`	From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. CoRR Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
2024	A*	`conf`	IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. EMNLP Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha
2024	J	`jnl`	IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. CoRR Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha
2024	A*	`conf`	Localizing and Editing Knowledge In Text-to-Image Generative Models. ICLR Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha
2024	A*	`conf`	On Mechanistic Knowledge Localization in Text-to-Image Generative Models. ICML Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi
2024	J	`jnl`	On Mechanistic Knowledge Localization in Text-to-Image Generative Models. CoRR Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan A. Rossi, Cherry Zhao, Vlad I. Morariu, Varun Manjunatha, Soheil Feizi
2024	J	`jnl`	Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. CoRR Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh
2024	J	`jnl`	Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models. CoRR Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Malemir Chegini, Robert Brauneis, Soheil Feizi
2024	A*	`conf`	Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. AAAI Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi
2024	J	`jnl`	Survey of User Interface Design and Interaction Techniques in Generative AI Applications. CoRR Reuben Luera, Ryan A. Rossi, Alexa F. Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Jian Zhao, Samyadeep Basu, Puneet Mathur, Nedim Lipka
2024	A*	`conf`	Understanding Information Storage and Transfer in Multi-Modal Large Language Models. NeurIPS Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
2024	J	`jnl`	Understanding Information Storage and Transfer in Multi-modal Large Language Models. CoRR Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
2024	J	`jnl`	Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models. CoRR Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi
2023	J	`jnl`	Augmenting CLIP with Improved Visio-Linguistic Reasoning. CoRR Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
2023	J	`jnl`	EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods. CoRR Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
2023	A*	`conf`	Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks. ICLR Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
2023	J	`jnl`	Localizing and Editing Knowledge in Text-to-Image Generative Models. CoRR Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha
2023	—	`conf`	On Surgical Fine-tuning for Language Encoders. EMNLP (Findings) Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan
2023	J	`jnl`	On Surgical Fine-tuning for Language Encoders. CoRR Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan
2023	J	`jnl`	Strong Baselines for Parameter Efficient Few-Shot Fine-tuning. CoRR Samyadeep Basu, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
2023	J	`jnl`	Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models. CoRR Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Hansi Zeng, Soundararajan Srinivasan
2022	J	`jnl`	Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats. CoRR Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan
2021	A*	`conf`	Influence Functions in Deep Learning Are Fragile. ICLR Samyadeep Basu, Phillip Pope, Soheil Feizi
2021	J	`jnl`	On Hard Episodes in Meta-Learning. CoRR Samyadeep Basu, Amr Sharaf, Nicolò Fusi, Soheil Feizi
2021	—	`conf`	Privacy Leakage Avoidance with Switching Ensembles. MILCOM Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu
2021	J	`jnl`	Semi-Supervised Few-Shot Intent Classification and Slot Filling. CoRR Samyadeep Basu, Karine lp Kiun Chong, Amr Sharaf, Alex Fischer, Vishal Rohra, Michael Amoake, Hazem El-Hammamy, Ehi Nosakhare, Vijay Ramani, Benjamin Han
2020	J	`jnl`	Influence Functions in Deep Learning Are Fragile. CoRR Samyadeep Basu, Phillip Pope, Soheil Feizi
2020	A*	`conf`	On Second-Order Group Influence Functions for Black-Box Predictions. ICML Samyadeep Basu, Xuchen You, Soheil Feizi
2019	J	`jnl`	Membership Model Inversion Attacks for Deep Networks. CoRR Samyadeep Basu, Rauf Izmailov, Chris Mesterharm
2019	J	`jnl`	Privacy Leakage Avoidance with Switching Ensembles. CoRR Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu
2019	J	`jnl`	Second-Order Group Influence Functions for Black-Box Predictions. CoRR Samyadeep Basu, Xuchen You, Soheil Feizi