Manas Gaur
15 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
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large language model
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suicide risk assessment
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social media
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information theory
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data transformation
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uncertainty quantification
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reinforcement learning
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conversational ai
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question answering
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explainable ai
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text mining
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machine unlearning
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Papers
IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation
EACL 2026
Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models
ACL 2026
Side Effects of Erasing Concepts from Diffusion Models
EMNLP 2025
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
EMNLP 2025
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation
AAAI 2025
(CPER) From Guessing to Asking: An Approach to Resolving Persona Knowledge Gap in LLMs during Multi-Turn Conversations
NAACL 2025
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions
EMNLP 2024
SaGE: Evaluating Moral Consistency in Large Language Models
COLING 2024
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
EMNLP 2024
Targeted Knowledge Infusion To Make Conversational AI Explainable and Safe
AAAI 2023
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts
NAACL 2022
Overview of the CLPsych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts
NAACL 2022
A Risk-Averse Mechanism for Suicidality Assessment on Social Media
ACL 2022
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs
AAAI 2022
Unsupervised Detection of Sub-Events in Large Scale Disasters
AAAI 2020