← Authors

Yiming Yang

98 papers · 2003–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (22) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (22) 🌍 Conference Polyglot (15) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (19) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (340) πŸ”₯ Unstoppable (14) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (93) ❓ The Questioner (2) ⚑ Prolific Year (10)

Conferences

ICLR (16) ACL (15) ICML (15) EMNLP (13) NIPS (12) AAAI (9) NAACL (4) AISTATS (3) COLING (3) EACL (2) IJCNLP (2) CVPR (1) ICCV (1) IJCAI (1) JMLR (1)

Top co-authors

Zhiqing Sun (19) Aman Madaan (16) Graham Neubig (10) Niket Tandon (9) Hanxiao Liu (7) Dheeraj Rajagopal (6) Sean Welleck (6) Shanda Li (6) Ruochen Xu (6) Eduard Hovy (5)

Research topics

Probability (1)

Keywords

large language model (11) language model (7) question answering (5) knowledge graph (5) pre-trained language model (4) transformer architecture (4) text classification (4) combinatorial optimization (4) few-shot learning (4) text generation (4) reinforcement learning (4) deep reinforcement learning (3) knowledge distillation (3) transfer learning (3) self-supervised learning (3) natural language inference (3) zero-shot learning (2) contrastive learning (2) model compression (2) object detection (2)

Papers

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