Hongxia Yang
- Papers
- 33
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Authored papers
33OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond
arXiv 2026
InfiAgent: An Infinite-Horizon Framework for General-Purpose Autonomous Agents
arXiv 2026
Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training
arXiv 2026
FeatCal: Feature Calibration for Post-Merging Models
arXiv 2026
E-PMQ: Expert-Guided Post-Merge Quantization with Merged-Weight Anchoring
arXiv 2026
InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners
arXiv 2025
Model Merging Scaling Laws in Large Language Models
arXiv 2026
OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use
arXiv 2025
InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization
arXiv 2025
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
arXiv 2025
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
arXiv 2025
InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion
arXiv 2025
InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
arXiv 2025
FullStack Bench: Evaluating LLMs as Full Stack Coders
arXiv 2024
Autoregressive Models in Vision: A Survey
arXiv 2024
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
arXiv 2024
Empowering Large Language Model Agents through Action Learning
arXiv 2024
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
arXiv 2024
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
arXiv 2024
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding
arXiv 2024
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
arXiv 2024
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
arXiv 2024
Law of Vision Representation in MLLMs
arXiv 2024
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
CVPR 2023 1
Self-Infilling Code Generation
arXiv 2023
LEMON: Lossless model expansion
arXiv 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
arXiv 2023
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
arXiv 2023
GraphMAE: Self-Supervised Masked Graph Autoencoders
arXiv 2022
Contrastive Attraction and Contrastive Repulsion for Representation Learning
contrastive-attraction-and-contrastive
CogView: Mastering Text-to-Image Generation via Transformers
NeurIPS 2021 12
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
arXiv 2020
Controllable Multi-Interest Framework for Recommendation
arXiv 2020
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