Dinesh Raghu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 30

Top Topics

Unsupervised Learning

Keynote Speakers

Natural Language

Top Venues

Publications

Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, 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
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR (2024)
Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback. CoRR (2024)
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems. CoRR (2024)
Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda, Ganesh Ramakrishnan, Kshitij Sharad Jadhav, Yatin Nandwani, Dinesh Raghu, Sachindra Joshi
Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering. CoRR (2024)
Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
Matching papers and reviewers at large conferences. Artif. Intell. 331 (2024)
Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. EMNLP (2023)
Yatin Nandwani, Vineet Kumar, Dinesh Raghu, Sachindra Joshi, Luis A. Lastras
Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs. CoRR (2023)
Mayank Mishra, Danish Contractor, Dinesh Raghu
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog. EACL (Findings) (2023)
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. CoRR (2023)
Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam
DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies. ACL (Findings) (2023)
Karan Bhukar, Harshit Kumar, Dinesh Raghu, Ajay Gupta
End-to-End Deep Reinforcement Learning for Conversation Disentanglement. AAAI (2023)
Dinesh Raghu, Suraj Joshi, Sachindra Joshi, Mausam
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation. EMNLP (2022)
Mayank Mishra, Danish Contractor, Dinesh Raghu
Joint Reasoning on Hybrid-knowledge sources for Task-Oriented Dialog. CoRR (2022)
Kevin Leyton-Brown, Mausam, Yatin Nandwani, Hedayat Zarkoob, Chris Cameron, Neil Newman, Dinesh Raghu
Matching Papers and Reviewers at Large Conferences. CoRR (2022)
Dinesh Raghu, Nikhil Gupta, Mausam
Unsupervised Learning of KB Queries in Task-Oriented Dialogs. Trans. Assoc. Comput. Linguistics 9 (2021)
Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. CoRR (2021)
Dinesh Raghu, Shantanu Agarwal, Sachindra Joshi, Mausam
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs. EMNLP (1) (2021)
Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. CoRR (2021)
Dinesh Raghu, Atishya Jain, Mausam, Sachindra Joshi
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs. ACL/IJCNLP (Findings) (2021)
Dinesh Raghu, Nikhil Gupta, Mausam
Unsupervised Learning of KB Queries in Task Oriented Dialogs. CoRR (2020)
Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi
Unsupervised Learning of Interpretable Dialog Models. ECAI (2020)
Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
Mask & Focus: Conversation Modelling by Learning Concepts. AAAI (2020)
Gaurav Pandey, Dinesh Raghu, Sachindra Joshi
Mask & Focus: Conversation Modelling by Learning Concepts. CoRR (2020)
Dinesh Raghu, Nikhil Gupta, Mausam
Disentangling Language and Knowledge in Task-Oriented Dialogs. NAACL-HLT (1) (2019)
Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi
Multi-Level Memory for Task Oriented Dialogs. NAACL-HLT (1) (2019)
Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi
Unsupervised Learning of Interpretable Dialog Models. CoRR (2018)
Dinesh Raghu, Surag Nair, Mausam
Inferring Temporal Knowledge for Near-Periodic Recurrent Events. IJCAI (2018)
Dinesh Raghu, Nikhil Gupta, Mausam
Hierarchical Pointer Memory Network for Task Oriented Dialogue. CoRR (2018)
Revanth Reddy, Danish Contractor, Dinesh Raghu, Sachindra Joshi
Multi-level Memory for Task Oriented Dialogs. CoRR (2018)
Sathish Reddy, Dinesh Raghu, Mitesh M. Khapra, Sachindra Joshi
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model. EACL (1) (2017)
Dinesh Raghu, Sathish Indurthi, Jitendra Ajmera, Sachindra Joshi
A statistical approach for Non-Sentential Utterance Resolution for Interactive QA System. SIGDIAL Conference (2015)
Debdoot Mukherjee, Jeanette Blomberg, Rama Akkiraju, Dinesh Raghu, Monika Gupta, Sugata Ghosal, Mu Qiao, Taiga Nakamura
A Case Based Approach to Serve Information Needs in Knowledge Intensive Processes. ICSOC (2013)
Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, Dinesh Raghu
Semi-Supervised Answer Extraction from Discussion Forums. IJCNLP (2013)
Ankur Gandhe, Dinesh Raghu, Rose Catherine
Domain adaptive answer extraction for discussion boards. WWW (Companion Volume) (2012)
Amit Singh, Deepak P, Dinesh Raghu
Retrieving similar discussion forum threads: a structure based approach. SIGIR (2012)
Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah
Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums. COLING (Posters) (2012)