Vishvak Murahari
10 papers · 2019–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25)
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Century Club · Bronze
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Prolific Year · Productive
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Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(5)
Deep Learning
(4)
Application Areas
(4)
Natural Language Processing
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Learning Types · Machine Learning
(2)
Techniques
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Applications · Natural Language Processing
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Applications · Reinforcement Learning
(1)
Keywords
data multiplexing
(4)
large language model
(3)
model compression
(2)
efficient computing
(2)
inference throughput
(2)
transfer learning
(2)
toxicity detection
(1)
evaluation framework
(1)
natural language inference
(1)
efficient inference
(1)
visual dialog
(1)
knowledge distillation
(1)
model pruning
(1)
generative model
(1)
throughput optimization
(1)
question generation
(1)
model fine-tuning
(1)
parameter-efficient tuning
(1)
inference optimization
(1)
language model
(1)
Papers
PersonaGym: Evaluating Persona Agents and LLMs
EMNLP 2025
QualEval: Qualitative Evaluation for Model Improvement
NAACL 2024
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
PruMUX: Augmenting Data Multiplexing with Model Compression
ACL 2023
Toxicity in chatgpt: Analyzing persona-assigned language models
EMNLP 2023
DataMUX: Data Multiplexing for Neural Networks
NeurIPS 2022
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline
ECCV 2020
Improving Generative Visual Dialog by Answering Diverse Questions
EMNLP 2019