Ramakanth Pasunuru

According to our database, Ramakanth Pasunuru authored at least 46 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient Tool Use with Chain-of-Abstraction Reasoning.

Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang

CoRR, 2024

2023

PathFinder: Guided Search over Multi-Step Reasoning Paths.

Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz

CoRR, 2023

The ART of LLM Refinement: Ask, Refine, and Trust.

Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz

CoRR, 2023

Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading.

Howard Chen, Ramakanth Pasunuru, Jason Weston, Asli Celikyilmaz

CoRR, 2023

Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding.

Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, Yejin Choi, Hannaneh Hajishirzi, Asli Celikyilmaz

CoRR, 2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

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

CoRR, 2023

Shepherd: A Critic for Language Model Generation.

Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz

CoRR, 2023

Augmented Language Models: a Survey.

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

CoRR, 2023

Crystal: Introspective Reasoners Reinforced with Self-Feedback.

Jiacheng Liu, Ramakanth Pasunuru, Hannaneh Hajishirzi, Yejin Choi, Asli Celikyilmaz

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Complementary Explanations for Effective In-Context Learning.

Xi Ye, Srinivasan Iyer, Asli Celikyilmaz, Veselin Stoyanov, Greg Durrett, Ramakanth Pasunuru

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Training Trajectories of Language Models Across Scales.

Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation.

Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.

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

CoRR, 2022

Interactive Query-Assisted Summarization via Deep Reinforcement Learning.

Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Proposition-Level Clustering for Multi-Document Summarization.

Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Improving In-Context Few-Shot Learning via Self-Supervised Training.

Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Few-shot Learning with Multilingual Generative Language Models.

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Efficient Large Scale Language Modeling with Mixtures of Experts.

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Multi-Objective Learning for Multi-Modal Natural Language Generation.

Ramakanth Pasunuru

PhD thesis, 2021

Efficient Large Scale Language Modeling with Mixtures of Experts.

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

CoRR, 2021

Few-shot Learning with Multilingual Language Models.

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

CoRR, 2021

A Proposition-Level Clustering Approach for Multi-Document Summarization.

Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan

CoRR, 2021

Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset.

Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer

CoRR, 2021

An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation.

Han Guo, Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Extending Multi-Document Summarization Evaluation to the Interactive Setting.

Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters.

Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Continual Few-Shot Learning for Text Classification.

Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration.

Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline.

Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Dual Reinforcement-Based Specification Generation for Image De-Rendering.

Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization.

Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Evaluating Interactive Summarization: an Expansion-Based Framework.

Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan

CoRR, 2020

SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks.

Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan

CoRR, 2020

DORB: Dynamically Optimizing Multiple Rewards with Bandits.

Ramakanth Pasunuru, Han Guo, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

FENAS: Flexible and Expressive Neural Architecture Search.

Ramakanth Pasunuru, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits.

Han Guo, Ramakanth Pasunuru, Mohit Bansal

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.

Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning.

Han Guo, Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Continual and Multi-Task Architecture Search.

Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Multi-Reward Reinforced Summarization with Saliency and Entailment.

Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Game-Based Video-Context Dialogue.

Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification.

Han Guo, Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation.

Han Guo, Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Towards Improving Abstractive Summarization via Entailment Generation.

Ramakanth Pasunuru, Han Guo, Mohit Bansal

Proceedings of the Workshop on New Frontiers in Summarization, 2017

Reinforced Video Captioning with Entailment Rewards.

Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Multi-Task Video Captioning with Video and Entailment Generation.

Ramakanth Pasunuru, Mohit Bansal

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017