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Author search results
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- Kinjal Basu 0001
LinkedIn Corporation, Mountain View, CA, USA - Kinjal Basu 0002
IBM Research
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Publication search results
found 67 matches
- 2024
- Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. ACL (1) 2024: 12859-12870 - Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger:
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. EACL (1) 2024: 394-405 - Yankai Zeng, Abhiramon Rajasekharan, Parth Padalkar, Kinjal Basu, Joaquín Arias, Gopal Gupta:
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs. PADL 2024: 204-222 - Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras:
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs. CoRR abs/2402.15491 (2024) - Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, Tim Klinger:
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning. CoRR abs/2403.10692 (2024) - Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - 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) - Yankai Zeng, Abhiramon Rajasekharan, Kinjal Basu, Huaduo Wang, Joaquín Arias, Gopal Gupta:
A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP. CoRR abs/2407.18498 (2024) - 2023
- Preetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu, Shaunak Chatterjee:
Generalized Causal Tree for Uplift Modeling. IEEE Big Data 2023: 788-798 - Ayan Acharya
, Siyuan Gao
, Ankan Saha
, Borja Ocejo
, Kinjal Basu
, Sathiya Keerthi Selvaraj
, Rahul Mazumder
, Aman Gupta
, Parag Agrawal
:
Optimizing for Member Value in an Edge Building Marketplace. CIKM 2023: 5-14 - Joaquin Quiñonero Candela
, Yuwen Wu
, Brian Hsu
, Sakshi Jain
, Jennifer Ramos
, Jon Adams
, Robert Hallman
, Kinjal Basu
:
Disentangling and Operationalizing AI Fairness at LinkedIn. FAccT 2023: 1213-1228 - Cyrus DiCiccio
, Brian Hsu
, YinYin Yu
, Preetam Nandy
, Kinjal Basu
:
Detection and Mitigation of Algorithmic Bias via Predictive Parity. FAccT 2023: 1801-1816 - Aman Gupta
, S. Sathiya Keerthi
, Ayan Acharya
, Miao Cheng
, Borja Ocejo Elizondo
, Rohan Ramanath
, Rahul Mazumder
, Kinjal Basu
, J. Kenneth Tay
, Rupesh Gupta
:
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. KDD 2023: 5781-5782 - Zesheng Xu, Joaquín Arias
, Elmer Salazar, Zhuo Chen, Sarat Chandra Varanasi
, Kinjal Basu
, Gopal Gupta
:
Jury-Trial Story Construction and Analysis Using Goal-Directed Answer Set Programming. PADL 2023: 261-278 - Ayan Acharya
, Siyuan Gao
, Borja Ocejo
, Kinjal Basu
, Ankan Saha
, Sathiya Keerthi Selvaraj
, Rahul Mazumder
, Parag Agrawal
, Aman Gupta
:
Promoting Inactive Members in Edge-Building Marketplace. WWW (Companion Volume) 2023: 945-949 - Gopal Gupta, Elmer Salazar, Farhad Shakerin, Joaquín Arias
, Sarat Chandra Varanasi, Kinjal Basu, Huaduo Wang, Fang Li, Serdar Erbatur, Parth Padalkar, Abhiramon Rajasekharan, Yankai Zeng, Manuel Carro:
Prolog: Past, Present, and Future. Prolog: The Next 50 Years 2023: 48-61 - Gopal Gupta, Huaduo Wang, Kinjal Basu, Farhad Shakerin, Elmer Salazar, Sarat Chandra Varanasi, Parth Padalkar, Sopam Dasgupta:
Logic-Based Explainable and Incremental Machine Learning. Prolog: The Next 50 Years 2023: 346-358 - Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu:
An Operational Perspective to Fairness Interventions: Where and How to Intervene. CoRR abs/2302.01574 (2023) - Yankai Zeng, Abhiramon Rajasekharan, Parth Padalkar, Kinjal Basu, Joaquín Arias, Gopal Gupta:
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs. CoRR abs/2303.08941 (2023) - Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. CoRR abs/2306.00025 (2023) - Maxwell Crouse, Ibrahim Abdelaziz, Kinjal Basu, Soham Dan, Sadhana Kumaravel, Achille Fokoue, Pavan Kapanipathi, Luis A. Lastras:
Formally Specifying the High-Level Behavior of LLM-Based Agents. CoRR abs/2310.08535 (2023) - 2022
- Dhruva Pendharkar, Kinjal Basu
, Farhad Shakerin, Gopal Gupta:
An ASP-based Approach to Answering Natural Language Questions for Texts. Theory Pract. Log. Program. 22(3): 419-443 (2022) - Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu:
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. AAAI 2022: 3821-3829 - Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu:
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. AIES 2022: 22-35 - Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui:
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱. FAccT 2022: 715-725 - Kinjal Basu:
Summary on "Hybrid Neuro-Symbolic Approach for Text-Based Games using Inductive Logic". ICLP Workshops 2022 - Kinjal Basu, Elmer Salazar, Huaduo Wang, Joaquín Arias, Parth Padalkar, Gopal Gupta:
Symbolic Reinforcement Learning Framework with Incremental Learning of Rule-based Policy. ICLP Workshops 2022 - Gopal Gupta, Elmer Salazar, Sarat Chandra Varanasi, Kinjal Basu, Joaquín Arias, Farhad Shakerin, Fang Li, Huaduo Wang:
Tutorial: Automating Commonsense Reasoning. ICLP Workshops 2022 - Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu:
Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 - Sarat Chandra Varanasi, Joaquín Arias, Elmer Salazar, Fang Li, Kinjal Basu, Gopal Gupta:
Modeling and Verification of Real-Time Systems with the Event Calculus and s(CASP). PADL 2022: 181-190
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