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
InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
arXiv 2025
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
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
Law of Vision Representation in MLLMs
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
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
arXiv 2024
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
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
CogView: Mastering Text-to-Image Generation via Transformers
NeurIPS 2021 12
Contrastive Attraction and Contrastive Repulsion for Representation Learning
contrastive-attraction-and-contrastive
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
arXiv 2020
Controllable Multi-Interest Framework for Recommendation
arXiv 2020
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