Yilong Wu
8 papers · 2024–2026 · 4 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
👥
Mega-Team · Squad
Venues
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Research topics
Keywords
large language model
(7)
tool learning
(3)
transfer learning
(2)
question generation
(1)
ai safety
(1)
instruction tuning
(1)
noise robustness
(1)
tool use
(1)
supervised fine-tuning
(1)
proximal policy optimization
(1)
instruction fine-tuning
(1)
policy transfer
(1)
jailbreak attack
(1)
tool selection
(1)
token weighting
(1)
robustness evaluation
(1)
data contamination
(1)
multi-domain learning
(1)
noise handling
(1)
agent system
(1)
Papers
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
ACL 2026
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
ACL 2025
STDArm: Transfer Visuomotor Policy From Static Data Training to Dynamic Robot Manipulation
RSS 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
EMNLP 2025
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
COLING 2025
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning
EMNLP 2024
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
ACL 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
EMNLP 2024