Aman Sinha
26 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🐝 Cross-Pollinator (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (8)
🌈
Renaissance Researcher
(8)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(48)
🏆
Keyword Champion
🚀
Conference Pioneer
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(114)
📈
Trend Setter
❓
The Questioner
💎
Century Club
(24)
Conferences
ACL (7)
COLING (4)
SEMEVAL (4)
NIPS (3)
CORL (2)
ICML (2)
AACL (1)
EMNLP (1)
ICLR (1)
IJCNLP (1)
Top co-authors
Keywords
text classification
(5)
hallucination detection
(4)
sentiment classification
(2)
rare-event simulation
(2)
focal loss
(2)
class imbalance
(2)
instruction-tuned model
(2)
autonomous vehicle
(2)
definition extraction
(2)
food hazard detection
(2)
binary classification
(2)
dependency parsing
(2)
overgeneration mistake
(2)
multilingual nlp
(2)
factual accuracy
(1)
transfer learning
(1)
uncertainty quantification
(1)
curriculum learning
(1)
stochastic gradient descent
(1)
natural language processing
(1)
Papers
Language Models Learn Universal Representations of Numbers and Here’s Why You Should Care
ACL 2026
SHROOM-CAP: Shared Task on Hallucinations and Related Observable Overgeneration Mistakes in Crosslingual Analyses of Publications
IJCNLP 2025
SHROOM-CAP: Shared Task on Hallucinations and Related Observable Overgeneration Mistakes in Crosslingual Analyses of Publications
AACL 2025
SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
ACL 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves
ACL 2025
Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text Reports
ACL 2025
Fossils at SemEval-2025 Task 9: Tasting Loss Functions for Food Hazard Detection in Text Reports
SEMEVAL 2025
SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
SEMEVAL 2025
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling
CORL 2024
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
ACL 2024
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
ACL 2024
IAI @ SocialDisNER : Catch me if you can! Capturing complex disease mentions in tweets
COLING 2022
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
CORL 2022
Word Sense Disambiguation of French Lexicographical Examples Using Lexical Networks
COLING 2022
DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction
COLING 2020
C-Net: Contextual Network for Sarcasm Detection
ACL 2020
DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa
EMNLP 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
NIPS 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
ICML 2020
DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis
COLING 2020
DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction
SEMEVAL 2020
DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis
SEMEVAL 2020
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
NIPS 2018
Certifying Some Distributional Robustness with Principled Adversarial Training
ICLR 2018
Adaptive Sampling Probabilities for Non-Smooth Optimization
ICML 2017
Learning Kernels with Random Features
NIPS 2016