Yongliang Shen
52 papers · 2020–2026 · 10 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.
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🗺️ Taxonomy Completionist (86) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Research topics
Artificial Intelligence
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Core AI
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Natural Language Processing
(31)
Machine Learning
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Deep Learning
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Learning Types · Machine Learning
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Applications
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Learning Types · Deep Learning
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Generation
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Reinforcement Learning
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Optimization & Theory
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Keywords
large language model
(15)
named entity recognition
(8)
reinforcement learning
(5)
contrastive learning
(4)
few-shot learning
(3)
agent system
(3)
theory of mind
(3)
mathematical reasoning
(3)
knowledge distillation
(3)
entity extraction
(3)
pre-trained language model
(2)
prompt learning
(2)
set prediction
(2)
autonomous agent
(2)
sentiment analysis
(2)
knowledge base
(2)
spatial reasoning
(2)
policy optimization
(2)
imitation learning
(2)
visual reasoning
(2)
Papers
AutoTaskEval: Towards Domain-Specific and Fine-Grained Evaluation for LLMs
ACL 2026
CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution
ACL 2026
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
ACL 2026
Experience-driven Multi-turn Reinforcement Learning for GUI Agents
ACL 2026
GUI-G²: Gaussian Reward Modeling for GUI Grounding
AAAI 2026
GUI-SAGE: Enhancing GUI Automation with Self-Explanatory Learning
CVPR 2026
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
ACL 2026
Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning
ACL 2026
Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese
ACL 2026
Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM’s Theory of Mind in Egocentric Videos
AAAI 2026
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
ACL 2026
Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
AAAI 2026
UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization
ACL 2026
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
ICCV 2025
AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification
EMNLP 2025
DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL
EMNLP 2025
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
NAACL 2025
Logic: Long-form Outline Generation via Imitative and Critical Self-refinement
EMNLP 2025
Scaling LLMs’ Social Reasoning: Sprinkle Cognitive “Aha Moment” into Fundamental Long-thought Logical Capabilities
ACL 2025
STaR-SQL: Self-Taught Reasoner for Text-to-SQL
ACL 2025
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
EMNLP 2024
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
ACL 2024
Insert or Attach: Taxonomy Completion via Box Embedding
ACL 2024
Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning
ACL 2024
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
EMNLP 2024
Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models
ACL 2024
Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives
ACL 2024
TaskBench: Benchmarking Large Language Models for Task Automation
NeurIPS 2024
TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models’ Theory-of-Mind
ACL 2024
An Expression Tree Decoding Strategy for Mathematical Equation Generation
EMNLP 2023
A Set Prediction Network For Extractive Summarization
ACL 2023
DiffusionNER: Boundary Diffusion for Named Entity Recognition
ACL 2023
Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization
EMNLP 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
NeurIPS 2023
MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition
EMNLP 2023
PromptNER: Prompt Locating and Typing for Named Entity Recognition
ACL 2023
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation
IJCAI 2022
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
SemEval 2022
De-Bias for Generative Extraction in Unified NER Task
ACL 2022
Minimally-Supervised Relation Induction from Pre-trained Language Model
NAACL 2022
Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem
EMNLP 2022
Parallel Instance Query Network for Named Entity Recognition
ACL 2022
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
IJCAI 2022
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition
IJCAI 2022
Query-based Instance Discrimination Network for Relational Triple Extraction
EMNLP 2022
Towards Data-Efficient Detection Transformers
ECCV 2022
A Sequence-to-Set Network for Nested Named Entity Recognition
IJCAI 2021
Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data
NAACL 2021
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
ACL 2021
Adversarial Self-Supervised Data-Free Distillation for Text Classification
EMNLP 2020
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
IJCAI 2020
SynET: Synonym Expansion using Transitivity
EMNLP 2020