Wenbo Su
26 papers · 2022–2026 · 9 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 Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (55) π¬ Deep Specialist (16) π€ Dynamic Duo (25)
ποΈ
Keyword Collector
(123)
β
The Questioner
(2)
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(6)
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(23)
Core AI
(22)
Machine Learning
(15)
Natural Language Processing
(14)
Resources & Methods
(11)
Deep Learning
(10)
Learning Types Β· Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(8)
Models
(6)
Application Areas
(4)
Applications
(4)
Learning Types Β· Deep Learning
(3)
Computer Science
(2)
Generation
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
large language model
(16)
benchmark evaluation
(5)
reinforcement learning
(4)
question answering
(3)
chinese language
(3)
factuality evaluation
(3)
domain adaptation
(2)
critic model
(2)
fine-grained evaluation
(2)
continual pre-training
(2)
supervised fine-tuning
(2)
multi-turn dialogue
(2)
reward modeling
(2)
long-context processing
(2)
instruction following
(2)
scaling law
(2)
direct preference optimization
(1)
preference learning
(1)
mathematical reasoning
(1)
visual question answering
(1)
Papers
CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling
ACL 2026
Read As Human: Compressing Context via Parallelizable Close Reading and Skimming
ACL 2026
Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs
CVPR 2026
RollArt: Disaggregated Multi-Task Agentic RL Training at Scale
OSDI 2026
RollPacker: Taming Long-Tail Rollouts for RL Post-Training with Tail Batching
NSDI 2026
SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification
ACL 2026
ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants
ACL 2026
Think-J: Learning to Think for Generative LLM-as-a-Judge
AAAI 2026
USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS
ACL 2026
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
NAACL 2025
AIR: Complex Instruction Generation via Automatic Iterative Refinement
EMNLP 2025
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
ACL 2025
Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models
ACL 2025
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
ACL 2025
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
EMNLP 2025
M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation
ACL 2025
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
ICLR 2025
ProgCo: Program Helps Self-Correction of Large Language Models
ACL 2025
See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models
ACL 2025
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
ACL 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
NeurIPS 2024
DDK: Distilling Domain Knowledge for Efficient Large Language Models
NeurIPS 2024
E2-LLM: Efficient and Extreme Length Extension of Large Language Models
ACL 2024
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
EMNLP 2024
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
ACL 2024
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models
NeurIPS 2022