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Ramakanth Pasunuru
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2020 – today
- 2024
- [c32]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: 10036-10056 - [c31]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: 5872-5883 - [i35]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 abs/2401.17464 (2024) - [i34]Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu:
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. CoRR abs/2410.00215 (2024) - 2023
- [j1]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) - [c30]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. ACL (Findings) 2023: 4469-4484 - [c29]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: 11069-11090 - [c28]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: 13711-13738 - [c27]Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz:
Crystal: Introspective Reasoners Reinforced with Self-Feedback. EMNLP 2023: 11557-11572 - [i33]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 abs/2302.07842 (2023) - [i32]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 abs/2308.04592 (2023) - [i31]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 abs/2309.02591 (2023) - [i30]Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz:
Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding. CoRR abs/2309.15028 (2023) - [i29]Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz:
Crystal: Introspective Reasoners Reinforced with Self-Feedback. CoRR abs/2310.04921 (2023) - [i28]Howard Chen, Ramakanth Pasunuru, Jason Weston, Asli Celikyilmaz:
Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading. CoRR abs/2310.05029 (2023) - [i27]Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz:
The ART of LLM Refinement: Ask, Refine, and Trust. CoRR abs/2311.07961 (2023) - [i26]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 abs/2312.05180 (2023) - 2022
- [c26]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 Generative Language Models. EMNLP 2022: 9019-9052 - [c25]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: 11699-11732 - [c24]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
Proposition-Level Clustering for Multi-Document Summarization. NAACL-HLT 2022: 1765-1779 - [c23]Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer
Interactive Query-Assisted Summarization via Deep Reinforcement Learning. NAACL-HLT 2022: 2551-2568 - [c22]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: 3558-3573 - [i25]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 abs/2205.01703 (2022) - [i24]Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Ves Stoyanov, Greg Durrett, Ramakanth Pasunuru:
Complementary Explanations for Effective In-Context Learning. CoRR abs/2211.13892 (2022) - [i23]Swarnadeep Saha, Xinyan Velocity Yu
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. CoRR abs/2212.08607 (2022) - [i22]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 abs/2212.09803 (2022) - [i21]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 abs/2212.12017 (2022) - 2021
- [b1]Ramakanth Pasunuru:
Multi-Objective Learning for Multi-Modal Natural Language Generation. University of North Carolina, Chapel Hill, USA, 2021 - [c21]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: 13666-13674 - [c20]Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal:
Dual Reinforcement-Based Specification Generation for Image De-Rendering. SDU@AAAI 2021 - [c19]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: 310-322 - [c18]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: 283-297 - [c17]Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal:
Continual Few-Shot Learning for Text Classification. EMNLP (1) 2021: 5688-5702 - [c16]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer
Extending Multi-Document Summarization Evaluation to the Interactive Setting. NAACL-HLT 2021: 657-677 - [c15]Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer:
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. NAACL-HLT 2021: 4768-4779 - [c14]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation. RepL4NLP@ACL-IJCNLP 2021: 289-306 - [i20]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. CoRR abs/2103.01863 (2021) - [i19]Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal:
Dual Reinforcement-Based Specification Generation for Image De-Rendering. CoRR abs/2103.01867 (2021) - [i18]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 abs/2109.11621 (2021) - [i17]Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer:
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. CoRR abs/2110.01073 (2021) - [i16]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
A Proposition-Level Clustering Approach for Multi-Document Summarization. CoRR abs/2112.08770 (2021) - [i15]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 abs/2112.10668 (2021) - [i14]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 abs/2112.10684 (2021) - 2020
- [c13]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. AAAI 2020: 7830-7838 - [c12]Ramakanth Pasunuru, Mohit Bansal:
FENAS: Flexible and Expressive Neural Architecture Search. EMNLP (Findings) 2020: 2869-2876 - [c11]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
DORB: Dynamically Optimizing Multiple Rewards with Bandits. EMNLP (1) 2020: 7766-7780 - [i13]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. CoRR abs/2001.04362 (2020) - [i12]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 abs/2009.00590 (2020) - [i11]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Evaluating Interactive Summarization: an Expansion-Based Framework. CoRR abs/2009.08380 (2020) - [i10]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
DORB: Dynamically Optimizing Multiple Rewards with Bandits. CoRR abs/2011.07635 (2020)
2010 – 2019
- 2019
- [c10]Ramakanth Pasunuru, Mohit Bansal:
Continual and Multi-Task Architecture Search. ACL (1) 2019: 1911-1922 - [c9]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. NAACL-HLT (1) 2019: 682-687 - [c8]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. NAACL-HLT (1) 2019: 3520-3531 - [i9]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. CoRR abs/1904.04153 (2019) - [i8]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. CoRR abs/1904.05929 (2019) - [i7]Ramakanth Pasunuru, Mohit Bansal:
Continual and Multi-Task Architecture Search. CoRR abs/1906.05226 (2019) - 2018
- [c7]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. ACL (1) 2018: 687-697 - [c6]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. COLING 2018: 462-476 - [c5]Ramakanth Pasunuru, Mohit Bansal:
Game-Based Video-Context Dialogue. EMNLP 2018: 125-136 - [c4]Ramakanth Pasunuru, Mohit Bansal:
Multi-Reward Reinforced Summarization with Saliency and Entailment. NAACL-HLT (2) 2018: 646-653 - [i6]Ramakanth Pasunuru, Mohit Bansal:
Multi-Reward Reinforced Summarization with Saliency and Entailment. CoRR abs/1804.06451 (2018) - [i5]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. CoRR abs/1805.11004 (2018) - [i4]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. CoRR abs/1806.07304 (2018) - [i3]Ramakanth Pasunuru, Mohit Bansal:
Game-Based Video-Context Dialogue. CoRR abs/1809.04560 (2018) - 2017
- [c3]Ramakanth Pasunuru, Mohit Bansal:
Multi-Task Video Captioning with Video and Entailment Generation. ACL (1) 2017: 1273-1283 - [c2]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
Towards Improving Abstractive Summarization via Entailment Generation. NFiS@EMNLP 2017: 27-32 - [c1]Ramakanth Pasunuru, Mohit Bansal:
Reinforced Video Captioning with Entailment Rewards. EMNLP 2017: 979-985 - [i2]Ramakanth Pasunuru, Mohit Bansal:
Multi-Task Video Captioning with Video and Entailment Generation. CoRR abs/1704.07489 (2017) - [i1]Ramakanth Pasunuru, Mohit Bansal:
Reinforced Video Captioning with Entailment Rewards. CoRR abs/1708.02300 (2017)
Coauthor Index
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