Yiming Yang

CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization AAAI 2026 Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI AAAI 2026 DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving AAAI 2026 From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge AAAI 2026 Less Is Better: Sparse Instance Learning for Cross-Domain Few-Shot Object Detection AAAI 2026 When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models CVPR 2026 Agentic-R1: Distilled Dual-Strategy Reasoning EMNLP 2025 Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction ICML 2025 Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward NAACL 2025 Few-shot Personalization of LLMs with Mis-aligned Responses NAACL 2025 Improve Vision Language Model Chain-of-thought Reasoning ACL 2025 Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving ICLR 2025 Large Language Models are Demonstration Pre-Selectors for Themselves ICML 2025 Lean-STaR: Learning to Interleave Thinking and Proving ICLR 2025 Learning Chaos In A Linear Way ICLR 2025 Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators ICML 2025 Optimizing Temperature for Language Models with Multi-Sample Inference ICML 2025 Regularized Langevin Dynamics for Combinatorial Optimization ICML 2025 Self-Play Preference Optimization for Language Model Alignment ICLR 2025 SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch AAAI 2025 Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo ICLR 2025 Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation ICML 2025 TFG-Flow: Training-free Guidance in Multimodal Generative Flow ICLR 2025 Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning AAAI 2025 Aligning Large Multimodal Models with Factually Augmented RLHF ACL 2024 AutoMix: Automatically Mixing Language Models NeurIPS 2024 Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NeurIPS 2024 Functional Interpolation for Relative Positions improves Long Context Transformers ICLR 2024 Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM EACL 2024 In-Context Principle Learning from Mistakes ICML 2024 Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers AISTATS 2024 Learning Performance-Improving Code Edits ICLR 2024 Learning to Correct for QA Reasoning with Black-box LLMs EMNLP 2024 SALMON: Self-Alignment with Instructable Reward Models ICLR 2024 Active Retrieval Augmented Generation EMNLP 2023 A Neural PDE Solver with Temporal Stencil Modeling ICML 2023 CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering EMNLP 2023 DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization NeurIPS 2023 Let’s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs EMNLP 2023 Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions EACL 2023 PAL: Program-aided Language Models ICML 2023 PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification ACL 2023 Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision NeurIPS 2023 Recitation-Augmented Language Models ICLR 2023 Self-Refine: Iterative Refinement with Self-Feedback NeurIPS 2023 Conditional set generation using Seq2seq models EMNLP 2022 CURIE: An Iterative Querying Approach for Reasoning About Situations ACL 2022 DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NeurIPS 2022 JAKET: Joint Pre-training of Knowledge Graph and Language Understanding AAAI 2022 KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering ACL 2022 Language Models of Code are Few-Shot Commonsense Learners EMNLP 2022 Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback NAACL 2022 Memory-assisted prompt editing to improve GPT-3 after deployment EMNLP 2022 Sparse Attention with Learning to Hash ICLR 2022 Could you give me a hint ? Generating inference graphs for defeasible reasoning ACL 2021 Meta Back-Translation ICLR 2021 Neural Language Modeling for Contextualized Temporal Graph Generation NAACL 2021 Rethinking Transformer-Based Set Prediction for Object Detection ICCV 2021 Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP 2021 An EM Approach to Non-autoregressive Conditional Sequence Generation ICML 2020 A Re-evaluation of Knowledge Graph Completion Methods ACL 2020 Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework ICLR 2020 Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing NeurIPS 2020 MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices ACL 2020 On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020 Politeness Transfer: A Tag and Generate Approach ACL 2020 Predicting Performance for Natural Language Processing Tasks ACL 2020 Pre-training Tasks for Embedding-based Large-scale Retrieval ICLR 2020 Violin: A Large-Scale Dataset for Video-and-Language Inference CVPR 2020 A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019 DARTS: Differentiable Architecture Search ICLR 2019 DEFT: A corpus for definition extraction in free- and semi-structured text ACL 2019 Implicit Kernel Learning AISTATS 2019 Kernel Change-point Detection with Auxiliary Deep Generative Models ICLR 2019 Re-examination of the Role of Latent Variables in Sequence Modeling NeurIPS 2019 Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019 Transformer-XL: Attentive Language Models beyond a Fixed-Length Context ACL 2019 XLNet: Generalized Autoregressive Pretraining for Language Understanding NeurIPS 2019 Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort COLING 2018 Unsupervised Cross-lingual Transfer of Word Embedding Spaces EMNLP 2018 Analogical Inference for Multi-relational Embeddings ICML 2017 Cross-lingual Distillation for Text Classification ACL 2017 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NeurIPS 2017 RACE: Large-scale ReAding Comprehension Dataset From Examinations EMNLP 2017 Adaptive Smoothed Online Multi-Task Learning NeurIPS 2016 Cross-Graph Learning of Multi-Relational Associations ICML 2016 Leveraging Multilingual Training for Limited Resource Event Extraction COLING 2016 Semi-Supervised Learning with Adaptive Spectral Transform AISTATS 2016 Bipartite Edge Prediction via Transductive Learning over Product Graphs ICML 2015 Von Mises-Fisher Clustering Models ICML 2014 Distributed training of Large-scale Logistic models ICML 2013 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Customizing Parallel Corpora at the Document Level ACL 2004 Learning Table Extraction from Examples COLING 2004 RCV1: A New Benchmark Collection for Text Categorization Research JMLR 2004 Unsupervised Learning of Arabic Stemming Using a Parallel Corpus ACL 2003