Ashwin Kalyan
19 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
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Conference Polyglot
(7)
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(7)
🧬
Topic Evolution
🔥
Unstoppable
(5)
⚡
Prolific Year
(7)
🚀
Conference Pioneer
💎
Century Club
(18)
❓
The Questioner
📈
Trend Setter
🗃️
Keyword Collector
(82)
Conferences
EMNLP (7)
ACL (3)
ICLR (3)
EACL (2)
ICML (2)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(7)
question answering
(2)
language model
(2)
toxicity detection
(2)
multi-task learning
(2)
mathematical reasoning
(2)
ai safety
(2)
image captioning
(2)
benchmark evaluation
(2)
text generation
(1)
decision theory
(1)
multimodal learning
(1)
natural language inference
(1)
structured prediction
(1)
multi-modal learning
(1)
knowledge distillation
(1)
bias detection
(1)
question generation
(1)
responsible ai
(1)
multi-label classification
(1)
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
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
ICLR 2024
QualEval: Qualitative Evaluation for Model Improvement
NAACL 2024
Anthropomorphization of AI: Opportunities and Risks
EMNLP 2023
Toxicity in chatgpt: Analyzing persona-assigned language models
EMNLP 2023
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
ACL 2023
Estimating Numbers without Regression
EACL 2023
C-STS: Conditional Semantic Textual Similarity
EMNLP 2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
EMNLP 2023
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
ICLR 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
NIPS 2022
LILA: A Unified Benchmark for Mathematical Reasoning
EMNLP 2022
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
ACL 2022
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI
EMNLP 2021
Trainable Decoding of Sets of Sequences for Neural Sequence Models
ICML 2019
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations
ICML 2018
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
ICLR 2018