Ramakanth Pasunuru

70 papers A* 7B 3Journal 35Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Byte Latent Transformer: Patches Scale Better Than Tokens. ACL (1) Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer
2025	B	`conf`	Efficient Tool Use with Chain-of-Abstraction Reasoning. COLING Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
2025	J	`jnl`	HoneyBee: Data Recipes for Vision-Language Reasoners. CoRR Hritik Bansal, Devandra Singh Sachan, Kai-Wei Chang, Aditya Grover, Gargi Ghosh, Wen-tau Yih, Ramakanth Pasunuru
2024	—	`conf`	ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization. ACL (Findings) David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal, Ramakanth Pasunuru
2024	J	`jnl`	Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
2024	—	`conf`	The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
2023	J	`jnl`	Augmented Language Models: a Survey. CoRR Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
2023	J	`jnl`	Augmented Language Models: a Survey. Trans. Mach. Learn. Res. Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom
2023	—	`conf`	Complementary Explanations for Effective In-Context Learning. ACL (Findings) Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru
2023	A*	`conf`	Crystal: Introspective Reasoners Reinforced with Self-Feedback. EMNLP Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz
2023	J	`jnl`	Crystal: Introspective Reasoners Reinforced with Self-Feedback. CoRR Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz
2023	—	`conf`	MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. ACL (Findings) Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz
2023	J	`jnl`	Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding. CoRR Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz
2023	J	`jnl`	PathFinder: Guided Search over Multi-Step Reasoning Paths. CoRR Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
2023	J	`jnl`	Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan
2023	J	`jnl`	Shepherd: A Critic for Language Model Generation. CoRR Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
2023	—	`conf`	Training Trajectories of Language Models Across Scales. ACL (1) Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
2023	J	`jnl`	Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading. CoRR Howard Chen, Ramakanth Pasunuru, Jason Weston, Asli Celikyilmaz
2022	J	`jnl`	Complementary Explanations for Effective In-Context Learning. CoRR Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru
2022	A*	`conf`	Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov
2022	A*	`conf`	Few-shot Learning with Multilingual Generative Language Models. EMNLP Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2022	—	`conf`	Improving In-Context Few-Shot Learning via Self-Supervised Training. NAACL-HLT Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
2022	J	`jnl`	Improving In-Context Few-Shot Learning via Self-Supervised Training. CoRR Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
2022	—	`conf`	Interactive Query-Assisted Summarization via Deep Reinforcement Learning. NAACL-HLT Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer
2022	J	`jnl`	MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. CoRR Swarnadeep Saha, Xinyan Velocity Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz
2022	J	`jnl`	OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. CoRR Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov
2022	—	`conf`	Proposition-Level Clustering for Multi-Document Summarization. NAACL-HLT Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan
2022	J	`jnl`	Training Trajectories of Language Models Across Scales. CoRR Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
2021	J	`jnl`	A Proposition-Level Clustering Approach for Multi-Document Summarization. CoRR Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan
2021	—	`conf`	An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation. RepL4NLP@ACL-IJCNLP Han Guo, Ramakanth Pasunuru, Mohit Bansal
2021	—	`conf`	Continual Few-Shot Learning for Text Classification. EMNLP (1) Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal
2021	A*	`conf`	Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. AAAI Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
2021	J	`jnl`	Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. CoRR Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
2021	—	`conf`	Dual Reinforcement-Based Specification Generation for Image De-Rendering. SDU@AAAI Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal
2021	J	`jnl`	Dual Reinforcement-Based Specification Generation for Image De-Rendering. CoRR Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal
2021	J	`jnl`	Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov
2021	—	`conf`	Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer
2021	—	`conf`	Extending Multi-Document Summarization Evaluation to the Interactive Setting. NAACL-HLT Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan
2021	J	`jnl`	Few-shot Learning with Multilingual Language Models. CoRR Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2021	J	`jnl`	Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. CoRR Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer
2021	—	`—`	Multi-Objective Learning for Multi-Modal Natural Language Generation. Ramakanth Pasunuru
2021	B	`conf`	Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. CoNLL Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan
2021	—	`conf`	iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. EMNLP (Demos) Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan
2021	J	`jnl`	iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. CoRR Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan
2020	—	`conf`	DORB: Dynamically Optimizing Multiple Rewards with Bandits. EMNLP (1) Ramakanth Pasunuru, Han Guo, Mohit Bansal
2020	J	`jnl`	DORB: Dynamically Optimizing Multiple Rewards with Bandits. CoRR Ramakanth Pasunuru, Han Guo, Mohit Bansal
2020	J	`jnl`	Evaluating Interactive Summarization: an Expansion-Based Framework. CoRR Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan
2020	—	`conf`	FENAS: Flexible and Expressive Neural Architecture Search. EMNLP (Findings) Ramakanth Pasunuru, Mohit Bansal
2020	A*	`conf`	Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. AAAI Han Guo, Ramakanth Pasunuru, Mohit Bansal
2020	J	`jnl`	Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. CoRR Han Guo, Ramakanth Pasunuru, Mohit Bansal
2020	J	`jnl`	SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. CoRR Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan
2019	—	`conf`	AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. NAACL-HLT (1) Han Guo, Ramakanth Pasunuru, Mohit Bansal
2019	J	`jnl`	AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. CoRR Han Guo, Ramakanth Pasunuru, Mohit Bansal
2019	—	`conf`	Continual and Multi-Task Architecture Search. ACL (1) Ramakanth Pasunuru, Mohit Bansal
2019	J	`jnl`	Continual and Multi-Task Architecture Search. CoRR Ramakanth Pasunuru, Mohit Bansal
2019	—	`conf`	Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. NAACL-HLT (1) Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan
2019	J	`jnl`	Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. CoRR Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan
2018	B	`conf`	Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. COLING Han Guo, Ramakanth Pasunuru, Mohit Bansal
2018	J	`jnl`	Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. CoRR Han Guo, Ramakanth Pasunuru, Mohit Bansal
2018	A*	`conf`	Game-Based Video-Context Dialogue. EMNLP Ramakanth Pasunuru, Mohit Bansal
2018	J	`jnl`	Game-Based Video-Context Dialogue. CoRR Ramakanth Pasunuru, Mohit Bansal
2018	—	`conf`	Multi-Reward Reinforced Summarization with Saliency and Entailment. NAACL-HLT (2) Ramakanth Pasunuru, Mohit Bansal
2018	J	`jnl`	Multi-Reward Reinforced Summarization with Saliency and Entailment. CoRR Ramakanth Pasunuru, Mohit Bansal
2018	—	`conf`	Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. ACL (1) Han Guo, Ramakanth Pasunuru, Mohit Bansal
2018	J	`jnl`	Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. CoRR Han Guo, Ramakanth Pasunuru, Mohit Bansal
2017	—	`conf`	Multi-Task Video Captioning with Video and Entailment Generation. ACL (1) Ramakanth Pasunuru, Mohit Bansal
2017	J	`jnl`	Multi-Task Video Captioning with Video and Entailment Generation. CoRR Ramakanth Pasunuru, Mohit Bansal
2017	A*	`conf`	Reinforced Video Captioning with Entailment Rewards. EMNLP Ramakanth Pasunuru, Mohit Bansal
2017	J	`jnl`	Reinforced Video Captioning with Entailment Rewards. CoRR Ramakanth Pasunuru, Mohit Bansal
2017	—	`conf`	Towards Improving Abstractive Summarization via Entailment Generation. NFiS@EMNLP Ramakanth Pasunuru, Han Guo, Mohit Bansal