Mayank Kulkarni

27 papers A* 3A 1Journal 7Unranked 16
YearRankTypeTitle / Venue / Authors
2025 — conf
MASSIVE-Agents: A Benchmark for Multilingual Function-Calling in 52 Languages.
EMNLP (Findings)
Mayank Kulkarni, Vittorio Mazzia, Judith Gaspers, Chris Hench, Jack FitzGerald
2025 — conf
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs.
NAACL (Long Papers)
Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu
2025 J jnl
MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs.
CoRR
Yuhang Zhou, Giannis Karamanolakis, Victor Soto, Anna Rumshisky, Mayank Kulkarni, Furong Huang, Wei Ai, Jianhua Lu
2025 J jnl
Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs.
CoRR
Xingang Guo, Yaxin Li, Xiangyi Kong, Yilan Jiang, Xiayu Zhao, Zhihua Gong, Yufan Zhang, Daixuan Li, Tianle Sang, Beixiao Zhu, Gregory Jun, Yingbing Huang, Yiqi Liu, Yuqi Xue, Rahul Dev Kundu, Qi Jian Lim, Yizhou Zhao, Luke Alexander Granger, Mohamed Badr Younis, Darioush Keivan, Nippun Sabharwal, Shreyanka Sinha, Prakhar Agarwal, Kojo Vandyck, Hanlin Mai, Zichen Wang, Aditya Venkatesh, Ayush Barik, Jiankun Yang, Chongying Yue, Jingjie He, Libin Wang, Licheng Xu, Hao Chen, Jinwen Wang, Liujun Xu, Rushabh Shetty, Ziheng Guo, Dahui Song, Manvi Jha, Weijie Liang, Weiman Yan, Bryan Zhang, Sahil Bhandary Karnoor, Jialiang Zhang, Rutva Pandya, Xinyi Gong, Mithesh Ballae Ganesh, Feize Shi, Ruiling Xu, Yifan Zhang, Yanfeng Ouyang, Lianhui Qin, Elyse Rosenbaum, Corey Snyder, Peter Seiler, Geir E. Dullerud, Xiaojia Shelly Zhang, Zuofu Cheng, Pavan Kumar Hanumolu, Jian Huang, Mayank Kulkarni, Mahdi Namazifar, Huan Zhang, Bin Hu
2024 — conf
Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction.
EACL (Findings)
Prakamya Mishra, Lincy Pattanaik, Arunima Sundar, Nishant Yadav, Mayank Kulkarni
2024 A* conf
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning.
KDD
Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang
2024 J jnl
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning.
CoRR
Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang
2023 — conf
An Empirical Analysis of Leveraging Knowledge for Low-Resource Task-Oriented Semantic Parsing.
ACL (Findings)
Mayank Kulkarni, Aoxiao Zhong, Nicolas Guenon des Mesnards, Sahar Movaghati, Mukund Sridhar, He Xie, Jianhua Lu
2023 A* conf
EntSUMv2: Dataset, Models and Evaluation for More Abstractive Entity-Centric Summarization.
EMNLP
Dhruv Mehra, Lingjue Xie, Ella Hofmann-Coyle, Mayank Kulkarni, Daniel Preotiuc-Pietro
2023 — conf
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning.
ACL (Findings)
Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro
2023 J jnl
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning.
CoRR
Genta Indra Winata, Lingjue Xie, Karthik Radhakrishnan, Shijie Wu, Xisen Jin, Pengxiang Cheng, Mayank Kulkarni, Daniel Preotiuc-Pietro
2023 A conf
Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model.
EACL
Mayank Kulkarni, Daniel Preotiuc-Pietro, Karthik Radhakrishnan, Genta Indra Winata, Shijie Wu, Lingjue Xie, Shaohua Yang
2022 — conf
Cross-lingual Few-Shot Learning on Unseen Languages.
AACL/IJCNLP (1)
Genta Indra Winata, Shijie Wu, Mayank Kulkarni, Thamar Solorio, Daniel Preotiuc-Pietro
2022 — conf
EntSUM: A Data Set for Entity-Centric Extractive Summarization.
ACL (1)
Mounica Maddela, Mayank Kulkarni, Daniel Preotiuc-Pietro
2022 J jnl
EntSUM: A Data Set for Entity-Centric Summarization.
CoRR
Mounica Maddela, Mayank Kulkarni, Daniel Preotiuc-Pietro
2022 — conf
Extractive Entity-Centric Summarization as Sentence Selection using Bi-Encoders.
AACL/IJCNLP (2)
Ella Hofmann-Coyle, Mayank Kulkarni, Lingjue Xie, Mounica Maddela, Daniel Preotiuc-Pietro
2022 — conf
Learning Rich Representation of Keyphrases from Text.
NAACL-HLT (Findings)
Mayank Kulkarni, Debanjan Mahata, Ravneet Arora, Rajarshi Bhowmik
2021 J jnl
Learning Rich Representation of Keyphrases from Text.
CoRR
Mayank Kulkarni, Debanjan Mahata, Ravneet Arora, Rajarshi Bhowmik
2020 — conf
Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings.
ECIR (2)
Dhruva Sahrawat, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma, Rakesh Gosangi, Amanda Stent, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann
2020 A* conf
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference.
ACL
Jing Wang, Mayank Kulkarni, Daniel Preotiuc-Pietro
2019 J jnl
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings.
CoRR
Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann
2019 — conf
Take the Initiative: Mixed Initiative Dialogue Policies for Pedagogical Agents in Game-Based Learning Environments.
AIED (2)
Joseph B. Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Elizabeth Boyer, Bradford W. Mott, Eric N. Wiebe, James C. Lester
2018 — conf
Affect-Based Early Prediction of Player Mental Demand and Engagement for Educational Games.
AIIDE
Joseph B. Wiggins, Mayank Kulkarni, Wookhee Min, Bradford W. Mott, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester
2018 — conf
Toward Data-Driven Tutorial Question Answering with Deep Learning Conversational Models.
BEA@NAACL-HLT
Mayank Kulkarni, Kristy Elizabeth Boyer
2018 — conf
User Affect and No-Match Dialogue Scenarios: An Analysis of Facial Expression.
MA3HMI@ICMI
Joseph B. Wiggins, Mayank Kulkarni, Wookhee Min, Kristy Elizabeth Boyer, Bradford W. Mott, Eric N. Wiebe, James C. Lester
2015 — conf
Optimizing response time and synchronization in User Virtualization via adaptive memory compression.
ICACCI
Mayank Kulkarni, Rushikesh Ghatpande, Nikunj Karnani, Jibi Abraham
2013 — conf
Graph based techniques for user personalization of news streams.
COMPUTE
Saurabh Kumar, Mayank Kulkarni