Ameet Deshpande
16 papers · 2020–2026 · 7 venues · across top CS/AI venues
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large language model
(7)
persona assignment
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transfer learning
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ai safety
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model compression
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toxicity detection
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data multiplexing
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state abstraction
(1)
off-policy evaluation
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reinforcement learning
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decision theory
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self-supervised learning
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attention mechanism
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natural language inference
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text classification
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empirical study
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language modeling
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Papers
Engagement Undermines Safety: How Stereotypes and Toxicity Shape Humor in Language Models
EACL 2026
Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation
ACL 2025
PersonaGym: Evaluating Persona Agents and LLMs
EMNLP 2025
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
NeurIPS 2024
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
ICLR 2024
InstructEval: Systematic Evaluation of Instruction Selection Methods
NAACL 2024
QualEval: Qualitative Evaluation for Model Improvement
NAACL 2024
Anthropomorphization of AI: Opportunities and Risks
EMNLP 2023
C-STS: Conditional Semantic Textual Similarity
EMNLP 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models
EMNLP 2023
MUX-PLMs: Pre-training Language Models with Data Multiplexing
ACL 2023
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification
ICML 2023
Toxicity in chatgpt: Analyzing persona-assigned language models
EMNLP 2023
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer
NAACL 2022
CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes
EMNLP 2020
Guiding Attention for Self-Supervised Learning with Transformers
EMNLP 2020