Wenhao Yu
79 papers · 2017–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (106) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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(22)
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Topic Pioneer
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Deep Specialist
(18)
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Keyword Champion
(2)
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Keyword Pioneer
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Mega-Team Β· Squad
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Dynamic Duo
(24)
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Grand Slam
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Triple Crown
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Prolific Year Β· Prolific
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Unstoppable Β· Bronze
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The Questioner
(3)
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Century Club Β· Silver
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Renaissance Researcher
(9)
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Trend Setter
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Keyword Collector
(344)
Venues
Top co-authors
Research topics
Artificial Intelligence
(52)
Core AI
(47)
Machine Learning
(33)
Natural Language Processing
(31)
Deep Learning
(28)
Learning Types Β· Machine Learning
(19)
Applications
(17)
Reinforcement Learning
(15)
Learning Types Β· Deep Learning
(15)
Core Methods
(12)
Generation
(12)
Learning Paradigms
(11)
Models
(11)
Resources & Methods
(11)
Architectures
(10)
Keywords
large language model
(11)
question answering
(11)
language model
(9)
transfer learning
(8)
open-domain question answering
(7)
text generation
(7)
reinforcement learning
(7)
graph neural network
(5)
quadrupedal robot
(5)
self-supervised learning
(5)
vision-language model
(4)
diffusion model
(4)
retrieval-augmented generation
(4)
safe reinforcement learning
(4)
knowledge graph
(4)
sim-to-real transfer
(3)
policy optimization
(3)
constraint satisfaction
(3)
zero-shot learning
(3)
policy learning
(3)
Papers
Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection
ACL 2026
Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding
ACL 2026
MotionEdit: Benchmarking and Learning Motion-Centric Image Editing
CVPR 2026
ReCode: Updating Code API Knowledge with Reinforcement Learning
AAAI 2026
SoPE: Spherical Coordinate-Based Positional Embedding for Enhancing Spatial Perception of 3D LVLMs
CVPR 2026
WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms
EACL 2026
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
ICLR 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
NAACL 2025
DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems
NAACL 2025
DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?
ICLR 2025
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
AAAI 2025
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining
RSS 2025
LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing
CoRL 2025
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
ICLR 2025
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization
ACL 2025
PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation
AAAI 2025
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
ICLR 2025
Retrieval-augmented GUI Agents with Generative Guidelines
EMNLP 2025
STDArm: Transfer Visuomotor Policy From Static Data Training to Dynamic Robot Manipulation
RSS 2025
Understanding and Enhancing Mamba-Transformer Hybrids for Memory Recall and Language Modeling
EMNLP 2025
Vision Language Models are In-Context Value Learners
ICLR 2025
WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model
EMNLP 2025
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
EMNLP 2024
Dense X Retrieval: What Retrieval Granularity Should We Use?
EMNLP 2024
Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination
CoRL 2024
Gradient shaping for multi-constraint safe reinforcement learning
L4DC 2024
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
EMNLP 2024
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
RSS 2024
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
CoRL 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
NeurIPS 2024
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
ICML 2024
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
ACL 2024
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
ICLR 2024
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
NAACL 2024
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
ACL 2024
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
ACL 2023
A Survey of Deep Learning for Mathematical Reasoning
ACL 2023
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
EACL 2023
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
EMNLP 2023
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
CoRL 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
ICML 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
NeurIPS 2023
Continuous Versatile Jumping Using Learned Action Residuals
L4DC 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators
ICLR 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
NeurIPS 2023
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
EMNLP 2023
Language to Rewards for Robotic Skill Synthesis
CoRL 2023
Large Language Models are Built-in Autoregressive Search Engines
ACL 2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
EMNLP 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
ICLR 2023
Pre-training Language Models for Comparative Reasoning
EMNLP 2023
SayTap: Language to Quadrupedal Locomotion
CoRL 2023
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism
CoRL 2023
A Unified Encoder-Decoder Framework with Entity Memory
EMNLP 2022
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
ACL 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
ACL 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
NAACL 2022
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering
EMNLP 2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
EMNLP 2022
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
ACL 2022
Knowledge-Augmented Methods for Natural Language Processing
ACL 2022
Learning from Counterfactual Links for Link Prediction
ICML 2022
Learning Semantics-Aware Locomotion Skills from Human Demonstration
CoRL 2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
EMNLP 2022
Retrieval-augmented Generation across Heterogeneous Knowledge
NAACL 2022
Task Compass: Scaling Multi-task Pre-training with Task Prefix
EMNLP 2022
Injecting Entity Types into Entity-Guided Text Generation
EMNLP 2021
Knowledge-Enriched Natural Language Generation
EMNLP 2021
Sentence-Permuted Paragraph Generation
EMNLP 2021
Technical Question Answering across Tasks and Domains
NAACL 2021
Validating Label Consistency in NER Data Annotation
EMNLP 2021
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision
CoRL 2021
A Technical Question Answering System with Transfer Learning
EMNLP 2020
Crossing Variational Autoencoders for Answer Retrieval
ACL 2020
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER
EMNLP 2020
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method
EMNLP 2019
Learning Novel Policies For Tasks
ICML 2019
Policy Transfer with Strategy Optimization
ICLR 2019
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
RSS 2017