Yang Wang
- Papers
- 37
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Authored papers
37GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
arXiv 2026
ViVa: A Video-Generative Value Model for Robot Reinforcement Learning
arXiv 2026
MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models
arXiv 2026
GigaWorld-Policy: An Efficient Action-Centered World--Action Model
arXiv 2026
Progressive Residual Warmup for Language Model Pretraining
arXiv 2026
Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments
arXiv 2026
TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery
arXiv 2026
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
arXiv 2026
AcademiClaw: When Students Set Challenges for AI Agents
arXiv 2026
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
arXiv 2025
UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
arXiv 2025
LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs
arXiv 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
arXiv 2025
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning
arXiv 2025
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
arXiv 2025
GigaWorld-0: World Models as Data Engine to Empower Embodied AI
arXiv 2025
SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead
arXiv 2025
WideSearch: Benchmarking Agentic Broad Info-Seeking
arXiv 2025
Stronger Together: On-Policy Reinforcement Learning for Collaborative LLMs
arXiv 2025
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers
arXiv 2025
GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
arXiv 2025
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
arXiv 2025
Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning
arXiv 2025
On Path to Multimodal Historical Reasoning: HistBench and HistAgent
arXiv 2025
Lanpaint: Training-Free Diffusion Inpainting with Exact and Fast Conditional Inference
arXiv 2025
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
arXiv 2024
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
arXiv 2024
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
arXiv 2024
Can We Verify Step by Step for Incorrect Answer Detection?
arXiv 2024
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
arXiv 2024
Can LLMs Solve longer Math Word Problems Better?
arXiv 2024
Adaptive Data-Free Quantization
CVPR 2023 1
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
ICCV 2023 1
Large Language Models for Generative Information Extraction: A Survey
arXiv 2023
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
CVPR 2022 1
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
arXiv 2022
Few-shot Scene-adaptive Anomaly Detection
ECCV 2020 8
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