Hao Cheng
- Papers
- 31
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Authored papers
31Orchard: An Open-Source Agentic Modeling Framework
arXiv 2026
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL
arXiv 2026
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
arXiv 2025
Streaming Video Question-Answering with In-context Video KV-Cache Retrieval
arXiv 2025
Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
arXiv 2025
ThetaEvolve: Test-time Learning on Open Problems
arXiv 2025
Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition
arXiv 2025
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
arXiv 2025
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
arXiv 2025
Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition
arXiv 2025
VAEmo: Efficient Representation Learning for Visual-Audio Emotion with Knowledge Injection
arXiv 2025
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention
arXiv 2025
Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models
arXiv 2025
Spiking Neural Network as Adaptive Event Stream Slicer
arXiv 2024
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
arXiv 2024
Spiking Diffusion Models
arXiv 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
arXiv 2024
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering
arXiv 2024
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
arXiv 2024
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities
arXiv 2024
Reassessing Layer Pruning in LLMs: New Insights and Methods
arXiv 2024
Spiking Denoising Diffusion Probabilistic Models
arXiv 2023
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
arXiv 2023
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
arXiv 2023
Augmenting Language Models with Long-Term Memory
augmenting-language-models-with-long-term
AceGPT, Localizing Large Language Models in Arabic
arXiv 2023
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
arXiv 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
arXiv 2023
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
arXiv 2023
Language Models as Inductive Reasoners
arXiv 2022
Bi-directional Attention with Agreement for Dependency Parsing
bi-directional-attention-with-agreement-for-1
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