Amey Hengle

According to our database, Amey Hengle authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks.

Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty

CoRR, April, 2025

CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs.

Amey Hengle, Aswini Kumar Padhi, Anil Bandhakavi, Tanmoy Chakraborty

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models.

Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF.

Amey Hengle, Aswini Kumar, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakroborty

CoRR, 2024

Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF.

Amey Hengle, Aswini Kumar, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis.

Amey Hengle, Atharva Kulkarni, Shantanu Patankar, Madhumitha Chandrasekaran, Sneha D'Silva, Jemima Jacob, Rashmi Gupta

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.

Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

An Attention Ensemble Approach for Efficient Text Classification of Indian Languages.

Atharva Kulkarni, Amey Hengle, Rutuja Udyawar

CoRR, 2021

Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification.

Amey Hengle, Atharva Kshirsagar, Shaily Desai, Manisha Marathe

Proceedings of the Sixth Arabic Natural Language Processing Workshop, 2021

Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations.

Atharva Kulkarni, Amey Hengle, Pradnya Kulkarni, Manisha Marathe

Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis, 2021