← Authors

Danqi Chen

75 papers · 2013–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (26) 🌟 Keyword Trendsetter Combo (9) 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ‘₯ Mega-Team (22) πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ“ˆ Trend Setter ⚑ Prolific Year (16) πŸ—ƒοΈ Keyword Collector (256) πŸ’Ž Century Club (75) πŸ”₯ Unstoppable (13) ❓ The Questioner (2)

Conferences

EMNLP (26) ACL (17) ICLR (9) ICML (7) NIPS (7) NAACL (5) IJCNLP (3) EACL (1)

Top co-authors

Tianyu Gao (17) Mengzhou Xia (15) Alexander Wettig (13) Zexuan Zhong (11) Dan Friedman (9) Yangsibo Huang (7) Sanjeev Arora (7) Howard Yen (7) Sadhika Malladi (6) Howard Chen (6)

Keywords

open-domain question answering (8) information retrieval (7) in-context learning (7) dense retrieval (7) question answering (7) language model (7) large language model (6) few-shot learning (5) dense retriever (3) masked language model (3) named entity recognition (3) benchmark evaluation (3) pre-trained language model (3) machine reading comprehension (3) text classification (3) transfer learning (3) natural language inference (3) prompt engineering (3) language model fine-tuning (3) phrase retrieval (3)

Papers

Representing Rule-based Chatbots with Transformers NAACL 2025
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ICML 2025
Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking EMNLP 2025
How to Train Long-Context Language Models (Effectively) ACL 2025
HELMET: How to Evaluate Long-context Models Effectively and Thoroughly ICLR 2025
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval ICLR 2025
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization ICLR 2025
Fantastic Copyrighted Beasts and How (Not) to Generate Them ICLR 2025
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal ICLR 2025
Metadata Conditioning Accelerates Language Model Pre-training ICML 2025
SimPO: Simple Preference Optimization with a Reference-Free Reward NIPS 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning ICML 2024
QuRating: Selecting High-Quality Data for Training Language Models ICML 2024
Interpretability Illusions in the Generalization of Simplified Models ICML 2024
Long-Context Language Modeling with Parallel Context Encoding ACL 2024
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models ACL 2024
Language Models as Science Tutors ICML 2024
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ICLR 2024
Evaluating Large Language Models at Evaluating Instruction Following ICLR 2024
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation ICLR 2024
Detecting Pretraining Data from Large Language Models ICLR 2024
LitSearch: A Retrieval Benchmark for Scientific Literature Search EMNLP 2024
Finding Transformer Circuits With Edge Pruning NIPS 2024
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs NIPS 2024
Should You Mask 15% in Masked Language Modeling? EACL 2023
Adapting Language Models to Compress Contexts EMNLP 2023
A Kernel-Based View of Language Model Fine-Tuning ICML 2023
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions EMNLP 2023
Privacy Implications of Retrieval-Based Language Models EMNLP 2023
Poisoning Retrieval Corpora by Injecting Adversarial Passages EMNLP 2023
Fine-Tuning Language Models with Just Forward Passes NIPS 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ACL 2023
Training Trajectories of Language Models Across Scales ACL 2023
Retrieval-based Language Models and Applications ACL 2023
Optimizing Test-Time Query Representations for Dense Retrieval ACL 2023
What In-Context Learning β€œLearns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023
MoQA: Benchmarking Multi-Type Open-Domain Question Answering ACL 2023
Enabling Large Language Models to Generate Text with Citations EMNLP 2023
C-STS: Conditional Semantic Textual Similarity EMNLP 2023
Learning Transformer Programs NIPS 2023
Generating Natural Language Proofs with Verifier-Guided Search EMNLP 2022
Recovering Private Text in Federated Learning of Language Models NIPS 2022
Structured Pruning Learns Compact and Accurate Models ACL 2022
Ditch the Gold Standard: Re-evaluating Conversational Question Answering ACL 2022
Finding Dataset Shortcuts with Grammar Induction EMNLP 2022
Training Language Models with Memory Augmentation EMNLP 2022
Don’t Prompt, Search! Mining-based Zero-Shot Learning with Language Models EMNLP 2022
MABEL: Attenuating Gender Bias using Textual Entailment Data EMNLP 2022
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models EMNLP 2022
Can Rationalization Improve Robustness? NAACL 2022
SimCSE: Simple Contrastive Learning of Sentence Embeddings EMNLP 2021
Simple Entity-Centric Questions Challenge Dense Retrievers EMNLP 2021
Single-dataset Experts for Multi-dataset Question Answering EMNLP 2021
Phrase Retrieval Learns Passage Retrieval, Too EMNLP 2021
Learning Dense Representations of Phrases at Scale ACL 2021
Making Pre-trained Language Models Better Few-shot Learners ACL 2021
Making Pre-trained Language Models Better Few-shot Learners IJCNLP 2021
Learning Dense Representations of Phrases at Scale IJCNLP 2021
A Frustratingly Easy Approach for Entity and Relation Extraction NAACL 2021
Non-Parametric Few-Shot Learning for Word Sense Disambiguation NAACL 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall NAACL 2021
Open-Domain Question Answering ACL 2020
Dense Passage Retrieval for Open-Domain Question Answering EMNLP 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020
A Discrete Hard EM Approach for Weakly Supervised Question Answering EMNLP 2019
A Discrete Hard EM Approach for Weakly Supervised Question Answering IJCNLP 2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension EMNLP 2019
Proceedings of the 2nd Workshop on Machine Reading for Question Answering EMNLP 2019
Proceedings of the Workshop on Machine Reading for Question Answering ACL 2018
Reading Wikipedia to Answer Open-Domain Questions ACL 2017
Position-aware Attention and Supervised Data Improve Slot Filling EMNLP 2017
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task ACL 2016
Representing Text for Joint Embedding of Text and Knowledge Bases EMNLP 2015
A Fast and Accurate Dependency Parser using Neural Networks EMNLP 2014
Reasoning With Neural Tensor Networks for Knowledge Base Completion NIPS 2013