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ORCIDChulaka Gunasekara
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2020 – today
- 2024
[c4]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, 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:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) 2024: 1131-1139- [i7]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 abs/2407.00121 (2024) - [i6]Young-Suk Lee, Chulaka Gunasekara, Danish Contractor, Ramón Fernandez Astudillo, Radu Florian:
Multi-Document Grounded Multi-Turn Synthetic Dialog Generation. CoRR abs/2409.11500 (2024) - [i5]David Yunis, Siyu Huo, Chulaka Gunasekara, Danish Contractor:
Reducing the Scope of Language Models with Circuit Breakers. CoRR abs/2410.21597 (2024) - 2023
- [c3]Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch:
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. ACL (1) 2023: 10406-10420 - [c2]Rudra Murthy V, Riyaz Bhat, Chulaka Gunasekara, Siva Sankalp Patel, Hui Wan, Tejas I. Dhamecha, Danish Contractor, Marina Danilevsky:
Semi-Structured Object Sequence Encoders. EMNLP (Findings) 2023: 9026-9039 - [i4]Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch:
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. CoRR abs/2305.01628 (2023) - [i3]Ankita Gupta, Chulaka Gunasekara, Hui Wan, Jatin Ganhotra, Sachindra Joshi, Marina Danilevsky:
Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations. CoRR abs/2311.08705 (2023) - 2022
- [i2]Benjamin Sznajder, Chulaka Gunasekara, Guy Lev, Sachin Joshi, Eyal Shnarch, Noam Slonim:
Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization. CoRR abs/2203.15590 (2022) - 2021
- [c1]Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Ranit Aharonov, Sachindra Joshi:
Using Question Answering Rewards to Improve Abstractive Summarization. EMNLP (Findings) 2021: 518-526 - [i1]Guy Feigenblat, Chulaka Gunasekara, Benjamin Sznajder, Sachindra Joshi, David Konopnicki, Ranit Aharonov:
TWEETSUMM - A Dialog Summarization Dataset for Customer Service. CoRR abs/2111.11894 (2021)
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