Zezhong Wang
21 papers · 2022–2026 · 7 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
Jump to papers ↓+5 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (38) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 👥 Mega-Team · Squad
🤝
Dynamic Duo
(18)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(95)
Top co-authors
Research topics
Artificial Intelligence
(19)
Core AI
(19)
Natural Language Processing
(10)
Machine Learning
(9)
Resources & Methods
(6)
Deep Learning
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory
(5)
Generation
(4)
Applications
(3)
Learning Types · Deep Learning
(3)
Core Methods
(2)
Reinforcement Learning
(1)
Methods
(1)
Models
(1)
Keywords
large language model
(8)
pre-trained language model
(3)
question answering
(2)
test-time scaling
(2)
reinforcement learning
(2)
conversational ai
(2)
language model
(2)
retrieval-augmented generation
(2)
tool learning
(2)
chain-of-thought reasoning
(2)
confidence estimation
(2)
multimodal learning
(1)
multilingual nlp
(1)
knowledge probing
(1)
text generation
(1)
dialogue generation
(1)
mathematical reasoning
(1)
domain adaptation
(1)
memory retrieval
(1)
prompt engineering
(1)
Papers
Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation
ACL 2026
Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors
ACL 2026
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
AAAI 2026
Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step
NAACL 2025
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models
EMNLP 2025
MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
ACL 2025
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs’ Reasoning
EMNLP 2025
T2: An Adaptive Test-Time Scaling Strategy for Contextual Question Answering
EMNLP 2025
ToolACE: Winning the Points of LLM Function Calling
ICLR 2025
ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis
NAACL 2025
DPDLLM: A Black-box Framework for Detecting Pre-training Data from Large Language Models
ACL 2024
Fine-tuning after Prompting: an Explainable Way for Classification
ACL 2024
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning
COLING 2024
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion in Question Answering
ACL 2024
SELF-GUARD: Empower the LLM to Safeguard Itself
NAACL 2024
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
EMNLP 2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
EMNLP 2023
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
IJCNLP 2023
ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing
EMNLP 2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
ACL 2023
“I Know Who You Are”: Character-Based Features for Conversational Humor Recognition in Chinese
EMNLP 2022