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Robin Jia

55 papers · 2016–2026 · 7 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 36% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Robin Jia?

5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Jesse Thomason, Deqing Fu, Ameya Godbole 20 papers · 2021–2026 · ACL, EMNLP, NAACL Hide ▲
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models ACL 2026 Language Models Can Infer Action Semantics for Symbolic Planners from Environment Feedback NAACL 2025 Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge ACL 2025 TLDR: Token-Level Detective Reward Model for Large Vision Language Models ICLR 2025 TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability EMNLP 2025 Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics ACL 2025 Why Do Some Inputs Break Low-Bit LLM Quantization? EMNLP 2025 Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks NAACL 2024 Efficient End-to-End Visual Document Understanding with Rationale Distillation NAACL 2024 Pre-trained Large Language Models Use Fourier Features to Compute Addition NeurIPS 2024 Proving membership in LLM pretraining data via data watermarks ACL 2024 Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression NeurIPS 2024 When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models EMNLP 2024 Benchmarking Long-tail Generalization with Likelihood Splits EACL 2023 Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering EMNLP 2023 Data Curation Alone Can Stabilize In-context Learning ACL 2023 SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples EMNLP 2023 Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems EMNLP 2022 Knowledge Base Question Answering by Case-based Reasoning over Subgraphs ICML 2022 The statistical advantage of automatic NLG metrics at the system level ACL 2021
7 papers whose co-authors appear nowhere else under this name
Mechanistic Interpretability of Emotion Inference in Large Language Models ACL 2025 Promote, Suppress, Iterate: How Language Models Answer One-to-Many Factual Queries EMNLP 2025 Question Answering Infused Pre-training of General-Purpose Contextualized Representations ACL 2022 Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations ACL 2021 Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL 2021 With Little Power Comes Great Responsibility EMNLP 2020 Document-Level N-ary Relation Extraction with Multiscale Representation Learning NAACL 2019

Venues · all papers under this name

ACL (20) EMNLP (20) NAACL (9) NeurIPS (3) EACL (1) ICLR (1) ICML (1)