Amey Hengle

dblp:286/1540 · DBLP profile ↗
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5ranked-venue papers
4as first author
5since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 4 first-author · 5 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Language models and text generation · 62% Information extraction and text analysis · 29% Trustworthy machine learning · 9%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation
large language model evaluation
0.812024
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis · EMNLP 2024
Medical and health informatics › mental health
mental health diagnosis
0.812024
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis · EMNLP 2024
Natural language and speech › Information extraction and text analysis
morphological analysis
0.712023
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model · EMNLP 2023
Natural language and speech › Language models and text generation › evaluation of language models › multilingual evaluation
multilingual language model evaluation
0.712023
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model · EMNLP 2023
Machine learning › Trustworthy machine learning › language model interpretability
language model probing
0.212023
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model · EMNLP 2023

Methods — techniques the papers use, named apart from their topics

large language model · 1.5comorbid diagnosis evaluation · 1.5multilingual probing · 0.7morphological generalization testing · 0.7
YearPublicationVenuePosition
2025 Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models
abstract
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 (Volume 1: Long Papers). 2025.
Amey Hengle, Prasoon Bajpai, Soham Dan, Tanmoy Chakraborty 0002
NAACL (Long Papers)1
2025 CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs
abstract
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 (Volume 1: Long Papers). 2025.
Amey Hengle, Aswini Kumar, Anil Bandhakavi, Tanmoy Chakraborty 0002
NAACL (Long Papers)1
2024 Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis
abstract
Amey Hengle, Atharva Kulkarni, Shantanu Deepak Patankar, Madhumitha Chandrasekaran, Sneha D’silva, Jemima S. Jacob, Rashmi Gupta. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
Amey Hengle, Atharva Kulkarni, Shantanu Patankar, Madhumitha Chandrasekaran, Sneha D'Silva, Jemima Jacob
EMNLP1
2024 Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF
abstract
Amey Hengle, Aswini Padhi, 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.
Amey Hengle, Aswini Kumar, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakraborty 0002
NAACL-HLT1
2023 Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
abstract
Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schuetze, Kemal Oflazer, David Mortensen. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
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
EMNLP6