Aditya Gupta
12 papers · 2019–2026 · 7 venues · across top CS/AI venues
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The Questioner
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Research topics
Keywords
question answering
(3)
pre-trained language model
(2)
procedural text
(2)
sentiment analysis
(1)
temporal reasoning
(1)
efficient computing
(1)
self-supervised learning
(1)
semantic parsing
(1)
contextual reasoning
(1)
multi-label classification
(1)
sequence tagging
(1)
natural language understanding
(1)
adversarial attack
(1)
emotion detection
(1)
partially observable markov decision process
(1)
named entity recognition
(1)
mixture of expert
(1)
transformer network
(1)
feature engineering
(1)
text classification
(1)
Papers
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
ACL 2026
QMUL at SemEval-2025 Task 11: Explicit Emotion Detection with EmoLex, Feature Engineering, and Threshold-Optimized Multi-Label Classification
SemEval 2025
AutoMix: Automatically Mixing Language Models
NeurIPS 2024
Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions?
ACL 2023
Efficient Encoders for Streaming Sequence Tagging
EACL 2023
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
EMNLP 2023
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning
COLING 2022
TableFormer: Robust Transformer Modeling for Table-Text Encoding
ACL 2022
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
ACL 2021
TIMEDIAL: Temporal Commonsense Reasoning in Dialog
ACL 2021
Effective Use of Transformer Networks for Entity Tracking
EMNLP 2019
Tracking Discrete and Continuous Entity State for Process Understanding
NAACL 2019