Yiran Zhao
16 papers · 2023–2026 · 8 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🗃️ Keyword Collector (72)
💎
Century Club · Bronze
❓
The Questioner
(2)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI
(9)
Machine Learning
(8)
Natural Language Processing
(8)
Resources & Methods
(8)
Learning Types · Machine Learning
(3)
Optimization & Theory · Machine Learning
(3)
Deep Learning
(2)
Applications
(2)
Core Methods
(2)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
large language model
(9)
instruction tuning
(2)
prompt optimization
(2)
multilingual processing
(2)
game theory
(1)
bayesian inference
(1)
representation learning
(1)
multilingual nlp
(1)
few-shot learning
(1)
in-context learning
(1)
prompt engineering
(1)
factuality evaluation
(1)
text generation
(1)
knowledge distillation
(1)
tensor decomposition
(1)
parameter estimation
(1)
safety alignment
(1)
error detection
(1)
posterior distribution
(1)
adversarial learning
(1)
Papers
UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark
CVPR 2026
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
NAACL 2025
Disentangling Language and Culture for Evaluating Multilingual Large Language Models
ACL 2025
Investigating Pattern Neurons in Urban Time Series Forecasting
ICLR 2025
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
NAACL 2025
Pruning General Large Language Models into Customized Expert Models
ACL 2025
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
NAACL 2025
Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron
ICLR 2025
Unnatural Languages Are Not Bugs but Features for LLMs
ICML 2025
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
NeurIPS 2024
How do Large Language Models Handle Multilingualism?
NeurIPS 2024
Prompt Optimization via Adversarial In-Context Learning
ACL 2024
Reasoning Robustness of LLMs to Adversarial Typographical Errors
EMNLP 2024
Tensor-train methods for sequential state and parameter learning in state-space models
JMLR 2024
FELM: Benchmarking Factuality Evaluation of Large Language Models
NeurIPS 2023
Self-Evaluation Guided Beam Search for Reasoning
NeurIPS 2023