Bhuwan Dhingra
55 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (9) 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11)
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Interdisciplinary Bridge
🌍
Conference Polyglot
(11)
🏃
Academic Marathon
(9)
🌟
Keyword Trendsetter Combo
(5)
🤝
Dynamic Duo
(11)
🏆
Keyword Champion
(2)
💎
Century Club
(53)
⚡
Prolific Year
(6)
❓
The Questioner
(2)
🗃️
Keyword Collector
(222)
🔥
Unstoppable
(10)
Conferences
ACL (13)
NAACL (13)
EMNLP (11)
EACL (4)
IJCNLP (3)
AACL (2)
COLING (2)
ICLR (2)
ICML (2)
NIPS (2)
IJCAI (1)
Top co-authors
Research topics
Keywords
question answering
(12)
text classification
(8)
large language model
(8)
language model
(7)
hallucination mitigation
(4)
zero-shot learning
(3)
natural language inference
(3)
semi-supervised learning
(3)
attention mechanism
(3)
sentence embedding
(3)
knowledge base
(3)
unsupervised learning
(3)
adversarial attack
(3)
named entity recognition
(2)
preference optimization
(2)
entity linking
(2)
information extraction
(2)
reading comprehension
(2)
factual accuracy
(2)
contrastive learning
(2)
Papers
Over-Searching in Search-Augmented Large Language Models
EACL 2026
DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality
ACL 2026
Improving Model Alignment Through Collective Intelligence of Open-Source Models
ICML 2025
To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts
ICLR 2025
GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings
NAACL 2025
MatViX: Multimodal Information Extraction from Visually Rich Articles
NAACL 2025
Evaluating Morphological Compositional Generalization in Large Language Models
NAACL 2025
Real-time Factuality Assessment from Adversarial Feedback
ACL 2025
Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff
ACL 2025
Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery
COLING 2025
Atomic Consistency Preference Optimization for Long-Form Question Answering
AACL 2025
Atomic Consistency Preference Optimization for Long-Form Question Answering
IJCNLP 2025
Extracting Polymer Nanocomposite Samples from Full-Length Documents
ACL 2024
Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications
ACL 2024
Atomic Self-Consistency for Better Long Form Generations
EMNLP 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024
Adversarial Math Word Problem Generation
EMNLP 2024
Calibrating Long-form Generations From Large Language Models
EMNLP 2024
Sequence Reducible Holdout Loss for Language Model Pretraining
COLING 2024
SumCSE: Summary as a transformation for Contrastive Learning
NAACL 2024
Tailoring Vaccine Messaging with Common-Ground Opinions
NAACL 2024
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models
NIPS 2024
Selectively Answering Ambiguous Questions
EMNLP 2023
Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis
AACL 2023
Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques
ACL 2023
Salient Span Masking for Temporal Understanding
EACL 2023
DiffQG: Generating Questions to Summarize Factual Changes
EACL 2023
Learning the Legibility of Visual Text Perturbations
EACL 2023
Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis
IJCNLP 2023
Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models
ACL 2022
ASQA: Factoid Questions Meet Long-Form Answers
EMNLP 2022
Differentiable Open-Ended Commonsense Reasoning
NAACL 2021
Fool Me Twice: Entailment from Wikipedia Gamification
NAACL 2021
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
ICML 2021
Investigating the Effect of Background Knowledge on Natural Questions
NAACL 2021
Weakly- and Semi-supervised Evidence Extraction
EMNLP 2020
Learning to Deceive with Attention-Based Explanations
ACL 2020
Differentiable Reasoning over a Virtual Knowledge Base
ICLR 2020
ToTTo: A Controlled Table-To-Text Generation Dataset
EMNLP 2020
Probing Biomedical Embeddings from Language Models
NAACL 2019
Combating Adversarial Misspellings with Robust Word Recognition
ACL 2019
PubMedQA: A Dataset for Biomedical Research Question Answering
IJCNLP 2019
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
ACL 2019
PubMedQA: A Dataset for Biomedical Research Question Answering
EMNLP 2019
Text Generation with Exemplar-based Adaptive Decoding
NAACL 2019
GLoMo: Unsupervised Learning of Transferable Relational Graphs
NIPS 2018
AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer
EMNLP 2018
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
EMNLP 2018
Neural Models for Reasoning over Multiple Mentions Using Coreference
NAACL 2018
Simple and Effective Semi-Supervised Question Answering
NAACL 2018
Embedding Text in Hyperbolic Spaces
NAACL 2018
Gated-Attention Readers for Text Comprehension
ACL 2017
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access
ACL 2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning
IJCAI 2017
Tweet2Vec: Character-Based Distributed Representations for Social Media
ACL 2016