Rajarshi Roy
8 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Core AI
(6)
Core Methods
(5)
Natural Language Processing
(4)
Learning Types
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Applications
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Generation
(1)
Methods
(1)
Models
(1)
Keywords
linear temporal logic
(2)
kernel methods
(2)
direct preference optimization
(2)
instruction tuning
(2)
large language model
(2)
model interpretability
(1)
dense retrieval
(1)
preference alignment
(1)
constraint satisfaction
(1)
kullback-leibler divergence
(1)
markov chain
(1)
language model
(1)
text-to-image model
(1)
interpretable model
(1)
semantic alignment
(1)
sat solver
(1)
retrieval-augmented generation
(1)
text embedding
(1)
divergence measure
(1)
temporal logic
(1)
Papers
DETONATE β A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization
AAAI 2026
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization
ACL 2025
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
IJCAI 2025
Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity
ICML 2025
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
ICLR 2025
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
NeurIPS 2024
Learning Interpretable Temporal Properties from Positive Examples Only
AAAI 2023
Learning Interpretable Models in the Property Specification Language
IJCAI 2020