Tejas Vaidhya
7 papers · 2020–2025 · 3 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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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(26)
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Hot Topic Early Bird
Top co-authors
Research topics
Artificial Intelligence
(5)
Deep Learning
(5)
Core AI
(5)
Machine Learning
(4)
Natural Language Processing
(4)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Applications
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Understanding
(2)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Keywords
named entity recognition
(2)
text classification
(2)
causal inference
(2)
social media analysis
(2)
domain adaptation
(2)
ternary language model
(2)
sentiment classification
(1)
transfer learning
(1)
post-training quantization
(1)
attention mechanism
(1)
argument mining
(1)
information extraction
(1)
multi-task learning
(1)
scaling law
(1)
minimum description length
(1)
token classification
(1)
natural language processing
(1)
model scaling
(1)
inference efficiency
(1)
semi-supervised learning
(1)
Papers
Scaling Laws and Efficient Inference for Ternary Language Models
ACL 2025
Surprising Effectiveness of pretraining Ternary Language Model at Scale
ICLR 2025
Logical Fallacy Detection
EMNLP 2022
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
EMNLP 2021
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States
EMNLP 2021
IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol
EMNLP 2020
Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets
EMNLP 2020