Hongwei Liu
11 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
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Conferences
ACL (4)
ICML (3)
CVPR (2)
EMNLP (1)
NAACL (1)
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Research topics
Keywords
large language model
(5)
evaluation benchmark
(2)
benchmark evaluation
(2)
reinforcement learning
(1)
bayesian inference
(1)
latent dirichlet allocation
(1)
domain generalization
(1)
mathematical reasoning
(1)
multilingual nlp
(1)
question answering
(1)
text generation
(1)
llm evaluation
(1)
fisher information
(1)
mcmc sampling
(1)
interpretable classification
(1)
riemannian manifold
(1)
visual concept
(1)
disentangled representation
(1)
reward model
(1)
optimal transport
(1)
Papers
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
ICML 2025
OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation
ICML 2025
OpenHuEval: Evaluating Large Language Model on Hungarian Specifics
ACL 2025
Are Your LLMs Capable of Stable Reasoning?
ACL 2025
Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification
CVPR 2025
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
CVPR 2025
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
EMNLP 2025
BotChat: Evaluating LLMsβ Capabilities of Having Multi-Turn Dialogues
NAACL 2024
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
ACL 2024
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents
ACL 2022
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
ICML 2017