Graham Neubig
Identifiers
- name variant Graham Neubig 0.60 · backfill
Papers (104)
- On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists cs.CL · 2026 · author #58
- Reinforcing Human Behavior Simulation via Verbal Feedback cs.LG · 2026 · author #14
- Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs cs.CL · 2026 · author #23
- Recursive Agent Optimization cs.LG · 2026 · author #5
- Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks cs.SE · 2026 · author #3
- What do Language Models Learn and When? The Implicit Curriculum Hypothesis cs.CL · 2026 · author #7
- Gym-Anything: Turn any Software into an Agent Environment cs.LG · 2026 · author #2
- IDIOLEX: Unified and Continuous Representations for Idiolectal and Stylistic Variation cs.CL · 2026 · author #8
- Modeling Distinct Human Interaction in Web Agents cs.CL · 2026 · author #8
- NEMO: Execution-Aware Optimization Modeling via Autonomous Coding Agents cs.AI · 2026 · author #6
- The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents cs.SE · 2025 · author #11
- Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cs.AI · 2025 · author #8
- ZINA: Multimodal Fine-grained Hallucination Detection and Editing cs.CV · 2025 · author #4
- FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks cs.AI · 2025 · author #9
- SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills cs.AI · 2025 · author #10
- Scaling Evaluation-time Compute with Reasoning Models as Evaluators cs.CL · 2025 · author #10
- Demystifying Long Chain-of-Thought Reasoning in LLMs cs.CL · 2025 · author #4
- Training Software Engineering Agents and Verifiers with SWE-Gym cs.SE · 2024 · author #3
- TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks cs.CL · 2024 · author #21
- Agent Workflow Memory cs.CL · 2024 · author #4
- MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cs.CL · 2024 · author #13
- OpenHands: An Open Platform for AI Software Developers as Generalist Agents cs.SE · 2024 · author #24
- VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks cs.LG · 2024 · author #7
- WebArena: A Realistic Web Environment for Building Autonomous Agents cs.AI · 2023 · author #12
- PAL: Program-aided Language Models cs.CL · 2022 · author #8
- Findings of the First Shared Task on Machine Translation Robustness cs.CL · 2019 · author #8
- Generalized Data Augmentation for Low-Resource Translation cs.CL · 2019 · author #4
- Self-Attentional Models for Lattice Inputs cs.CL · 2019 · author #2
- Domain Adaptation of Neural Machine Translation by Lexicon Induction cs.CL · 2019 · author #3
- Improving Open Information Extraction via Iterative Rank-Aware Learning cs.CL · 2019 · author #3
- Choosing Transfer Languages for Cross-Lingual Learning cs.CL · 2019 · author #13
- Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation cs.CL · 2019 · author #2
- Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation cs.CL · 2019 · author #2
- Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation cs.CL · 2019 · author #3
- Competence-based Curriculum Learning for Neural Machine Translation cs.CL · 2019 · author #3
- On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models cs.CL · 2019 · author #3
- Improving Robustness of Machine Translation with Synthetic Noise cs.CL · 2019 · author #4
- The ARIEL-CMU Systems for LoReHLT18 cs.CL · 2019 · author #21
- Multilingual Neural Machine Translation With Soft Decoupled Encoding cs.CL · 2019 · author #4
- An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation cs.CL · 2019 · author #3
- Lagging Inference Networks and Posterior Collapse in Variational Autoencoders cs.LG · 2019 · author #3
- Learning to Generate Corrective Patches using Neural Machine Translation cs.SE · 2018 · author #3
- Towards a General-Purpose Linguistic Annotation Backend cs.CL · 2018 · author #1
- Zero-shot Neural Transfer for Cross-lingual Entity Linking cs.CL · 2018 · author #3
- Learning to Describe Phrases with Local and Global Contexts cs.CL · 2018 · author #4
- Learning to Represent Edits cs.LG · 2018 · author #2
- Optimizing Segmentation Granularity for Neural Machine Translation cs.CL · 2018 · author #5
- Multi-Source Neural Machine Translation with Data Augmentation cs.CL · 2018 · author #3
- TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation cs.CL · 2018 · author #2
- MTNT: A Testbed for Machine Translation of Noisy Text cs.CL · 2018 · author #2
- Parameter Sharing Methods for Multilingual Self-Attentional Translation Models cs.CL · 2018 · author #2
- Contextual Encoding for Translation Quality Estimation cs.CL · 2018 · author #4
- Retrieval-Based Neural Code Generation cs.CL · 2018 · author #6
- Neural Cross-Lingual Named Entity Recognition with Minimal Resources cs.CL · 2018 · author #3
- Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations cs.CL · 2018 · author #4
- A Tree-based Decoder for Neural Machine Translation cs.CL · 2018 · author #4
- Unsupervised Learning of Syntactic Structure with Invertible Neural Projections cs.CL · 2018 · author #2
- Contextual Parameter Generation for Universal Neural Machine Translation cs.CL · 2018 · author #3
- SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation cs.CL · 2018 · author #4
- Rapid Adaptation of Neural Machine Translation to New Languages cs.CL · 2018 · author #1
- StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing cs.CL · 2018 · author #4
- Findings of the Second Workshop on Neural Machine Translation and Generation cs.CL · 2018 · author #4
- Multi-Source Neural Machine Translation with Missing Data cs.CL · 2018 · author #3
- Stress Test Evaluation for Natural Language Inference cs.CL · 2018 · author #5
- Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow cs.CL · 2018 · author #5
- Neural Factor Graph Models for Cross-lingual Morphological Tagging cs.CL · 2018 · author #3
- Automatic Estimation of Simultaneous Interpreter Performance cs.CL · 2018 · author #5
- Extreme Adaptation for Personalized Neural Machine Translation cs.CL · 2018 · author #2
- Stack-Pointer Networks for Dependency Parsing cs.CL · 2018 · author #5
- When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? cs.CL · 2018 · author #5
- Guiding Neural Machine Translation with Retrieved Translation Pieces cs.CL · 2018 · author #4
- Attentive Interaction Model: Modeling Changes in View in Argumentation cs.CL · 2018 · author #6
- Self-Attentional Acoustic Models cs.CL · 2018 · author #3
- Neural Lattice Language Models cs.CL · 2018 · author #2
- XNMT: The eXtensible Neural Machine Translation Toolkit cs.CL · 2018 · author #1
- Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop cs.CL · 2018 · author #6
- Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks cs.LG · 2017 · author #3
- Convolutional Neural Networks for Medical Diagnosis from Admission Notes cs.CL · 2017 · author #3
- Improving Neural Machine Translation through Phrase-based Forced Decoding cs.CL · 2017 · author #4
- Transcribing Against Time cs.CL · 2017 · author #2
- Handling Homographs in Neural Machine Translation cs.CL · 2017 · author #3
- A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models cs.LG · 2017 · author #2
- Learning Language Representations for Typology Prediction cs.CL · 2017 · author #2
- CharManteau: Character Embedding Models For Portmanteau Creation cs.CL · 2017 · author #3
- Stronger Baselines for Trustable Results in Neural Machine Translation cs.CL · 2017 · author #2
- An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation cs.CL · 2017 · author #3
- Controllable Invariance through Adversarial Feature Learning cs.LG · 2017 · author #5
- On-the-fly Operation Batching in Dynamic Computation Graphs cs.LG · 2017 · author #1
- Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML cs.LG · 2017 · author #4
- Neural Machine Translation via Binary Code Prediction cs.CL · 2017 · author #3
- Learning Character-level Compositionality with Visual Features cs.CL · 2017 · author #4
- A Syntactic Neural Model for General-Purpose Code Generation cs.CL · 2017 · author #2
- Neural Lattice-to-Sequence Models for Uncertain Inputs cs.CL · 2017 · author #2
- Neural Machine Translation and Sequence-to-sequence Models: A Tutorial cs.CL · 2017 · author #1
- DyNet: The Dynamic Neural Network Toolkit stat.ML · 2017 · author #1
- What Do Recurrent Neural Network Grammars Learn About Syntax? cs.CL · 2016 · author #5
- Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates cs.LG · 2016 · author #3
- Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016 cs.CL · 2016 · author #1
- Learning to Translate in Real-time with Neural Machine Translation cs.CL · 2016 · author #2
- Controlling Output Length in Neural Encoder-Decoders cs.CL · 2016 · author #2
- Incorporating Discrete Translation Lexicons into Neural Machine Translation cs.CL · 2016 · author #2
- Generalizing and Hybridizing Count-based and Neural Language Models cs.CL · 2016 · author #1
- Morphological Inflection Generation Using Character Sequence to Sequence Learning cs.CL · 2015 · author #3
- Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015 cs.CL · 2015 · author #1
Mentions
- 2602.17588 #8 · arxiv_oai · confidence 0.70 Graham Neubig
- 2601.21372 #6 · arxiv_oai · confidence 0.70 Graham Neubig
- 2605.20668 #58 · arxiv_oai · confidence 0.70 Graham Neubig
- 2605.20506 #14 · arxiv_oai · confidence 0.70 Graham Neubig
- 2503.19877 #10 · arxiv_oai · confidence 0.70 Graham Neubig
- 2605.09063 #23 · arxiv_oai · confidence 0.70 Graham Neubig
- 2502.03373 #4 · arxiv_oai · confidence 0.70 Graham Neubig
- 2507.00432 #8 · arxiv_oai · confidence 0.70 Graham Neubig
- 2412.21139 #3 · arxiv_oai · confidence 0.70 Graham Neubig
- 2401.13649 #7 · arxiv_oai · confidence 0.70 Graham Neubig
Frequent Coauthors
- Pengcheng Yin 10 shared papers
- Satoshi Nakamura 9 shared papers
- Chris Dyer 6 shared papers
- Eduard Hovy 6 shared papers
- Matthias Sperber 6 shared papers
- Xinyi Wang 6 shared papers
- Alex Waibel 5 shared papers
- Antonios Anastasopoulos 5 shared papers
- Jan Niehues 5 shared papers
- Junjie Hu 5 shared papers
- Paul Michel 5 shared papers
- Philip Arthur 5 shared papers
- Sean Welleck 5 shared papers
- Shuyan Zhou 5 shared papers
- Xiang Yue 5 shared papers
- Jaime Carbonell 4 shared papers
- Junxian He 4 shared papers
- Seungone Kim 4 shared papers
- Xuhui Zhou 4 shared papers
- Yiming Yang 4 shared papers