Siyuan Wu
10 papers · 2024–2025 · 7 conferences · across top CS/AI conferences
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Conferences
ICLR (4)
AAAI (1)
EACL (1)
EMNLP (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
transfer learning
(1)
curriculum learning
(1)
uncertainty quantification
(1)
multilingual nlp
(1)
model evaluation
(1)
code generation
(1)
responsible ai
(1)
ai safety
(1)
low-resource language
(1)
cross-lingual learning
(1)
sequence-to-sequence model
(1)
personalized federated learning
(1)
knowledge aggregation
(1)
language alignment
(1)
dynamic evaluation
(1)
natural language query
(1)
spreadsheet formula
(1)
text-to-code generation
(1)
client collaboration
(1)
Papers
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models
NAACL 2025
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
AAAI 2025
Balancing Bias in Two-sided Markets for Fair Stable Matchings
ICLR 2025
DataGen: Unified Synthetic Dataset Generation via Large Language Models
ICLR 2025
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
ICLR 2025
HonestLLM: Toward an Honest and Helpful Large Language Model
NIPS 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries
EACL 2024
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
EMNLP 2024
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
ICLR 2024