Bhuwan Dhingra

54 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (11) 🗺️ Taxonomy Completionist (90) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 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

NAACL (13) ACL (12) EMNLP (11) EACL (4) IJCNLP (3) AACL (2) COLING (2) ICLR (2) ICML (2) NIPS (2) IJCAI (1)

Top co-authors

William Cohen (11) Raghuveer Thirukovalluru (7) Junlin Wang (6) Roy Xie (6) Ruslan Salakhutdinov (6) Danish Pruthi (5) Qiao Jin (5) Haitian Sun (5) Zachary C. Lipton (5) Yukun Huang (5)

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

GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings NAACL 2025

Real-time Factuality Assessment from Adversarial Feedback ACL 2025

Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff ACL 2025

MatViX: Multimodal Information Extraction from Visually Rich Articles NAACL 2025

Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery COLING 2025

Evaluating Morphological Compositional Generalization in Large Language Models NAACL 2025

To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts ICLR 2025

Atomic Consistency Preference Optimization for Long-Form Question Answering AACL 2025

Atomic Consistency Preference Optimization for Long-Form Question Answering IJCNLP 2025

Improving Model Alignment Through Collective Intelligence of Open-Source Models ICML 2025

Atomic Self-Consistency for Better Long Form Generations EMNLP 2024

Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models NIPS 2024

SumCSE: Summary as a transformation for Contrastive Learning NAACL 2024

Tailoring Vaccine Messaging with Common-Ground Opinions NAACL 2024

Extracting Polymer Nanocomposite Samples from Full-Length Documents ACL 2024

Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications ACL 2024

Sequence Reducible Holdout Loss for Language Model Pretraining COLING 2024

Calibrating Long-form Generations From Large Language Models EMNLP 2024

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024

Adversarial Math Word Problem Generation EMNLP 2024

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

DiffQG: Generating Questions to Summarize Factual Changes EACL 2023

Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques ACL 2023

Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis AACL 2023

Selectively Answering Ambiguous Questions EMNLP 2023

Salient Span Masking for Temporal Understanding EACL 2023

Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models ACL 2022

ASQA: Factoid Questions Meet Long-Form Answers EMNLP 2022

Investigating the Effect of Background Knowledge on Natural Questions NAACL 2021

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations ICML 2021

Fool Me Twice: Entailment from Wikipedia Gamification NAACL 2021

Differentiable Open-Ended Commonsense Reasoning NAACL 2021

Differentiable Reasoning over a Virtual Knowledge Base ICLR 2020

Weakly- and Semi-supervised Evidence Extraction EMNLP 2020

Learning to Deceive with Attention-Based Explanations ACL 2020

ToTTo: A Controlled Table-To-Text Generation Dataset EMNLP 2020

Probing Biomedical Embeddings from Language Models NAACL 2019

PubMedQA: A Dataset for Biomedical Research Question Answering EMNLP 2019

PubMedQA: A Dataset for Biomedical Research Question Answering IJCNLP 2019

Text Generation with Exemplar-based Adaptive Decoding NAACL 2019

Combating Adversarial Misspellings with Robust Word Recognition ACL 2019

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation ACL 2019

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

AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer EMNLP 2018

Simple and Effective Semi-Supervised Question Answering NAACL 2018

Embedding Text in Hyperbolic Spaces NAACL 2018

GLoMo: Unsupervised Learning of Transferable Relational Graphs NIPS 2018

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL 2017

Gated-Attention Readers for Text Comprehension 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