Dinesh Raghu

50 papers A* 9A 2B 1Journal 23Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Library of LLM Intrinsics for Retrieval-Augmented Generation.
CoRR
Marina Danilevsky, Kristjan H. Greenewald, R. Chulaka Gunasekara, Maeda F. Hanafi, Lihong He, Yannis Katsis, Krishnateja Killamsetty, Yatin Nandwani, Lucian Popa, Dinesh Raghu, Frederick Reiss, Vraj Shah, Khoi-Nguyen Tran, Huaiyu Zhu, Luis A. Lastras
2025 — conf
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models.
NAACL (Findings)
Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Dinesh Khandelwal, Dinesh Raghu, Sachindra Joshi
2025 J jnl
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models.
CoRR
Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Dinesh Khandelwal, Dinesh Raghu, Sachindra Joshi
2025 — conf
Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG.
NAACL (Findings)
Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2025 J jnl
Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG.
CoRR
Kushagra Bhushan, Yatin Nandwani, Dinesh Khandelwal, Sonam Gupta, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2024 A* conf
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
ICML
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024 J jnl
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback.
CoRR
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
2024 J jnl
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering.
CoRR
Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
2024 — conf
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering.
EMNLP (Findings)
Saeel Sandeep Nachane, Ojas Gramopadhye, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
2024 — conf
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
EMNLP (Industry Track)
Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
2024 J jnl
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
CoRR
Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, R. Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi
2024 — conf
HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues.
EMNLP (Findings)
Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Gaurav Pandey, Dinesh Raghu, Setu Sinha
2024 J jnl
Matching papers and reviewers at large conferences.
Artif. Intell.
Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
2024 A* conf
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations.
EMNLP
Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam
2024 J jnl
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations.
CoRR
Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam
2024 J jnl
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models.
CoRR
Sonam Gupta, Yatin Nandwani, Asaf Yehudai, Mayank Mishra, Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2024 A* conf
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems.
EMNLP
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam
2024 J jnl
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems.
CoRR
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam
2023 — conf
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies.
ACL (Findings)
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam
2023 J jnl
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies.
CoRR
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam
2023 A* conf
End-to-End Deep Reinforcement Learning for Conversation Disentanglement.
AAAI
Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta
2023 — conf
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog.
EACL (Findings)
Mayank Mishra, Danish Contractor, Dinesh Raghu
2023 A* conf
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs.
EMNLP
Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
2023 J jnl
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs.
CoRR
Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
2023 J jnl
cellCounts: an R function for quantifying 10x Chromium single-cell RNA sequencing data.
Bioinform.
Yang Liao, Dinesh Raghu, Bhupinder Pal, Lisa A. Mielke, Wei Shi
2022 J jnl
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog.
CoRR
Mayank Mishra, Danish Contractor, Dinesh Raghu
2022 J jnl
Matching Papers and Reviewers at Large Conferences.
CoRR
Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
2022 A* conf
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation.
EMNLP
Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam
2021 — conf
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs.
ACL/IJCNLP (Findings)
Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi
2021 J jnl
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs.
CoRR
Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi
2021 — conf
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs.
EMNLP (1)
Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam
2021 J jnl
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs.
CoRR
Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam
2021 J jnl
Unsupervised Learning of KB Queries in Task-Oriented Dialogs.
Trans. Assoc. Comput. Linguistics
Dinesh Raghu, Nikhil Gupta, Mausam
2020 A* conf
Mask & Focus: Conversation Modelling by Learning Concepts.
AAAI
Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2020 J jnl
Mask & Focus: Conversation Modelling by Learning Concepts.
CoRR
Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
2020 A conf
Unsupervised Learning of Interpretable Dialog Models.
ECAI
Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi
2020 J jnl
Unsupervised Learning of KB Queries in Task Oriented Dialogs.
CoRR
Dinesh Raghu, Nikhil Gupta, Mausam
2019 — conf
Disentangling Language and Knowledge in Task-Oriented Dialogs.
NAACL-HLT (1)
Dinesh Raghu, Nikhil Gupta, Mausam
2019 — conf
Multi-Level Memory for Task Oriented Dialogs.
NAACL-HLT (1)
Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi
2018 J jnl
Hierarchical Pointer Memory Network for Task Oriented Dialogue.
CoRR
Dinesh Raghu, Nikhil Gupta, Mausam
2018 A* conf
Inferring Temporal Knowledge for Near-Periodic Recurrent Events.
IJCAI
Dinesh Raghu, Surag Nair, Mausam
2018 J jnl
Multi-level Memory for Task Oriented Dialogs.
CoRR
Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi
2018 J jnl
Unsupervised Learning of Interpretable Dialog Models.
CoRR
Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi
2017 — conf
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model.
EACL (1)
Sathish Reddy, Dinesh Raghu, Mitesh M. Khapra, Sachindra Joshi
2015 — conf
A statistical approach for Non-Sentential Utterance Resolution for Interactive QA System.
SIGDIAL Conference
Dinesh Raghu, Sathish Indurthi, Jitendra Ajmera, Sachindra Joshi
2013 A conf
A Case Based Approach to Serve Information Needs in Knowledge Intensive Processes.
ICSOC
Debdoot Mukherjee, Jeanette Blomberg, Rama Akkiraju, Dinesh Raghu, Monika Gupta, Sugata Ghosal, Mu Qiao, Taiga Nakamura
2013 B conf
Semi-Supervised Answer Extraction from Discussion Forums.
IJCNLP
Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, Dinesh Raghu
2012 — conf
Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums.
COLING (Posters)
Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah
2012 — conf
Domain adaptive answer extraction for discussion boards.
WWW (Companion Volume)
Ankur Gandhe, Dinesh Raghu, Rose Catherine
2012 A* conf
Retrieving similar discussion forum threads: a structure based approach.
SIGIR
Amit Singh, Deepak P, Dinesh Raghu