Robin Jia
- Pre-trained Large Language Models Use Fourier Features to Compute Addition
2024/06/05 by Tianyi Zhou, Zhou, Tianyi, Deqing Fu +5 · 11 voices · 10 citations
#cs.LG #cs.CL
- Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
2021/04/14 by Koustuv Sinha, Robin Jia, Sinha, Koustuv +10 · 1 voice · 9 citations
Computer Science · #cs.CL #cs.LG
- Adversarial Examples for Evaluating Reading Comprehension Systems
2017/07/23 by Robin Jia, Percy Liang, Jia, Robin +1 · 27 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Convergent Evolution: How Different Language Models Learn Similar Number Representations
2026/04/22 by Deqing Fu, Tianyi Zhou, Mikhail Belkin +2 · 12 voices · 1 citation
#cs.CL #cs.AI #cs.LG
- Selective Question Answering under Domain Shift
2020/06/16 by Amita Kamath, Robin Jia, Kamath, Amita +3 · 13 citations
Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Certified Robustness to Adversarial Word Substitutions
2019/09/03 by Robin Jia, Jia, Robin, Aditi Raghunathan +5 · 14 citations
Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Hate Speech and Cyberbullying Detection
- With Little Power Comes Great Responsibility
2020/10/13 by Dallas Card, Card, Dallas, Peter Henderson +9 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
- Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression
2023/10/26 by Deqing Fu, Fu, Deqing, Tian-Qi Chen +5 · 11 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
- Proving membership in LLM pretraining data via data watermarks
2024/02/16 by Johnny Tian-Zheng Wei, Wei, Johnny Tian-Zheng, Ryan Yixiang Wang +3 · 12 citations
Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Research Data Management Practices #Scientific Computing and Data Management
- Mechanistic Interpretability of Emotion Inference in Large Language Models
2025/02/08 by Ala N. Tak, Ala Nekouvaght Tak, Tak, Ala N. +10 · 1 voice · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling #cs.AI #cs.CL
- Data Recombination for Neural Semantic Parsing
2016/06/11 by Robin Jia, Percy Liang, Jia, Robin +1 · 6 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
2021/05/21 by Zhiyi Ma, Ma, Zhiyi, Kawin Ethayarajh +15 · 4 citations
Computer Science · #Topic Modeling #Software Engineering Research #Explainable Artificial Intelligence (XAI)
- Data Curation Alone Can Stabilize In-context Learning
2022/12/20 by Ting-Yun Chang, Robin Jia, Chang, Ting-Yun +1 · 4 citations
Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Document-Level N-ary Relation Extraction with Multiscale Representation Learning
2019/04/04 by Robin Jia, Cliff Wong, Jia, Robin +3 · 2 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
- Robust Encodings: A Framework for Combating Adversarial Typos
2020/05/04 by Erik Jones, Jones, Erik, Robin Jia +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research #Topic Modeling
- Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions
2025/04/15 by Wang Bill Zhu, Wang Zhu, Tianqi Chen +18 · 1 voice · 5 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Topic Modeling #cs.CL #cs.CY
- Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality
2021/06/08 by Mina Lee, Chris Donahue, Lee, Mina +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Estimating Large Language Model Capabilities without Labeled Test Data
2023/05/24 by Harvey Yiyun Fu, Qinyuan Ye, Fu, Harvey Yiyun +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics
2025/01/24 by Ameya Godbole, Robin Jia, Godbole, Ameya +1 · 3 citations
Economics, Econometrics and Finance · Social Sciences · #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Law, Economics, and Judicial Systems #Machine Learning (cs.LG)
- TLDR: Token-Level Detective Reward Model for Large Vision Language Models
2024/10/07 by Deqing Fu, Tong Xiao, Fu, Deqing +13 · 1 voice · 2 citations
#cs.LG #cs.CL #cs.CV
- Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
2021/12/16 by Max Bartolo, Tristan Thrush, Bartolo, Max +9 · 1 citation
Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Mobile Crowdsensing and Crowdsourcing
- Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
2022/02/22 by Raj Das, Das, Rajarshi, Ameya Godbole +13 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Graph Neural Networks
- Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems
2022/10/26 by Zhu Wang, Jesse Thomason, Zhu, Wang +3 · 1 citation
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering
2023/05/24 by Zhu Wang, Zhu, Wang, Jesse Thomason +3 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Rethinking Backdoor Detection Evaluation for Language Models
2024/08/31 by Jun Yan, Wenjie Mo, Yan, Jun +5 · 1 citation
Computer Science · #Natural Language Processing Techniques #Topic Modeling
- FoNE: Precise Single-Token Number Embeddings via Fourier Features
2025/02/13 by Tianyi Zhou, Zhou, Tianyi, Deqing Fu +7 · 2 citations
Computer Science · #Handwritten Text Recognition Techniques #Chaos-based Image/Signal Encryption #Algorithms and Data Compression
- Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift
2026/07/20 by Zitong Huang, Gustavo Lucas Carvalho, Deqing Fu +1
#cs.CL #cs.LG