Ramakanth Pasunuru

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 66

Top Topics

Text Classification

Reinforcement Learning

Document Summarization

Top Venues

Publications

Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT (2024)
David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal, Ramakanth Pasunuru
ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization. ACL (Findings) (2024)
Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR (2024)
Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz
Crystal: Introspective Reasoners Reinforced with Self-Feedback. CoRR (2023)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov
Training Trajectories of Language Models Across Scales. ACL (1) (2023)
Howard Chen, Ramakanth Pasunuru, Jason Weston, Asli Celikyilmaz
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading. CoRR (2023)
Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
Shepherd: A Critic for Language Model Generation. CoRR (2023)
Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
PathFinder: Guided Search over Multi-Step Reasoning Paths. CoRR (2023)
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
Augmented Language Models: a Survey. CoRR (2023)
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
Augmented Language Models: a Survey. Trans. Mach. Learn. Res. 2023 (2023)
Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz
Crystal: Introspective Reasoners Reinforced with Self-Feedback. EMNLP (2023)
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru
Complementary Explanations for Effective In-Context Learning. ACL (Findings) (2023)
Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. ACL (Findings) (2023)
Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz
Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding. CoRR (2023)
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
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR (2023)
Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
Improving In-Context Few-Shot Learning via Self-Supervised Training. CoRR (2022)
Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva
Improving In-Context Few-Shot Learning via Self-Supervised Training. NAACL-HLT (2022)
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
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP (2022)
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 Diab, Veselin Stoyanov, Xian Li
Few-shot Learning with Multilingual Generative Language Models. EMNLP (2022)
Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan
Proposition-Level Clustering for Multi-Document Summarization. NAACL-HLT (2022)
Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov
Training Trajectories of Language Models Across Scales. CoRR (2022)
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
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. CoRR (2022)
Swarnadeep Saha, Xinyan Velocity Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. CoRR (2022)
Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru
Complementary Explanations for Effective In-Context Learning. CoRR (2022)
Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer
Interactive Query-Assisted Summarization via Deep Reinforcement Learning. NAACL-HLT (2022)
Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal
Continual Few-Shot Learning for Text Classification. EMNLP (1) (2021)
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. CoRR (2021)
Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. EMNLP (Demos) (2021)
Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan
A Proposition-Level Clustering Approach for Multi-Document Summarization. CoRR (2021)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation. RepL4NLP@ACL-IJCNLP (2021)
Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal
Dual Reinforcement-Based Specification Generation for Image De-Rendering. CoRR (2021)
Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal
Dual Reinforcement-Based Specification Generation for Image De-Rendering. SDU@AAAI (2021)
Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan
Extending Multi-Document Summarization Evaluation to the Interactive Setting. NAACL-HLT (2021)
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
Few-shot Learning with Multilingual Language Models. CoRR (2021)
Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. AAAI (2021)
Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT (2021)
Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. CoRR (2021)
Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. CoNLL (2021)
Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. CoRR (2021)
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
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR (2021)
Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. CoRR (2020)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. AAAI (2020)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. CoRR (2020)
Ramakanth Pasunuru, Han Guo, Mohit Bansal
DORB: Dynamically Optimizing Multiple Rewards with Bandits. EMNLP (1) (2020)
Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan
Evaluating Interactive Summarization: an Expansion-Based Framework. CoRR (2020)
Ramakanth Pasunuru, Mohit Bansal
FENAS: Flexible and Expressive Neural Architecture Search. EMNLP (Findings) (2020)
Ramakanth Pasunuru, Han Guo, Mohit Bansal
DORB: Dynamically Optimizing Multiple Rewards with Bandits. CoRR (2020)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. CoRR (2019)
Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. CoRR (2019)
Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. NAACL-HLT (1) (2019)
Ramakanth Pasunuru, Mohit Bansal
Continual and Multi-Task Architecture Search. CoRR (2019)
Ramakanth Pasunuru, Mohit Bansal
Continual and Multi-Task Architecture Search. ACL (1) (2019)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. NAACL-HLT (1) (2019)
Ramakanth Pasunuru, Mohit Bansal
Multi-Reward Reinforced Summarization with Saliency and Entailment. CoRR (2018)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. COLING (2018)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. CoRR (2018)
Ramakanth Pasunuru, Mohit Bansal
Game-Based Video-Context Dialogue. EMNLP (2018)
Ramakanth Pasunuru, Mohit Bansal
Game-Based Video-Context Dialogue. CoRR (2018)
Ramakanth Pasunuru, Mohit Bansal
Multi-Reward Reinforced Summarization with Saliency and Entailment. NAACL-HLT (2) (2018)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. ACL (1) (2018)
Han Guo, Ramakanth Pasunuru, Mohit Bansal
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. CoRR (2018)
Ramakanth Pasunuru, Mohit Bansal
Multi-Task Video Captioning with Video and Entailment Generation. ACL (1) (2017)
Ramakanth Pasunuru, Mohit Bansal
Reinforced Video Captioning with Entailment Rewards. CoRR (2017)
Ramakanth Pasunuru, Mohit Bansal
Multi-Task Video Captioning with Video and Entailment Generation. CoRR (2017)
Ramakanth Pasunuru, Mohit Bansal
Reinforced Video Captioning with Entailment Rewards. EMNLP (2017)
Ramakanth Pasunuru, Han Guo, Mohit Bansal
Towards Improving Abstractive Summarization via Entailment Generation. NFiS@EMNLP (2017)