Yiran Zhao
15 papers · 2023–2025 · 7 conferences · across top CS/AI conferences
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Keywords
large language model
(9)
prompt optimization
(2)
multilingual processing
(2)
adversarial learning
(1)
bayesian inference
(1)
parameter estimation
(1)
game theory
(1)
multilingual nlp
(1)
in-context learning
(1)
prompt engineering
(1)
factuality evaluation
(1)
text generation
(1)
error detection
(1)
tensor decomposition
(1)
instruction tuning
(1)
knowledge distillation
(1)
posterior distribution
(1)
sequential learning
(1)
low-resource language
(1)
few-shot learning
(1)
Papers
Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron
ICLR 2025
Investigating Pattern Neurons in Urban Time Series Forecasting
ICLR 2025
Unnatural Languages Are Not Bugs but Features for LLMs
ICML 2025
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
NAACL 2025
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
NAACL 2025
Disentangling Language and Culture for Evaluating Multilingual Large Language Models
ACL 2025
Pruning General Large Language Models into Customized Expert Models
ACL 2025
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
NAACL 2025
Reasoning Robustness of LLMs to Adversarial Typographical Errors
EMNLP 2024
How do Large Language Models Handle Multilingualism?
NIPS 2024
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
NIPS 2024
Prompt Optimization via Adversarial In-Context Learning
ACL 2024
Tensor-train methods for sequential state and parameter learning in state-space models
JMLR 2024
Self-Evaluation Guided Beam Search for Reasoning
NIPS 2023
FELM: Benchmarking Factuality Evaluation of Large Language Models
NIPS 2023