4 citations · 14 across the 19 of their papers we have counts for
5 papers · 1 filter
Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention
Siyu Ding, Mingchuan Ma, Jiabo Tong +3
Recent NVFP4 pretraining work has primarily optimized Transformer linear projections, leaving persistent optimizer states, optimizer computation, and low-precision attention forwar…
FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Self-Verification
Haoqing Wang, Xingrun Xing, Wei Xia +3
Agentic vision-language models (VLMs), which interleave textual reasoning with explicit tool calls such as cropping and code-based image manipulation, have emerged as a compelling…
Trust Region On-Policy Distillation
Xingrun Xing, Haoqing Wang, Boyan Gao +2
On-Policy Distillation (OPD) is a fundamental technique for efficient post-training of large language models (LLMs), with broad applications in agent learning, multi-task enhanceme…
MemTrain: Self-Supervised Context Memory Training
Ziheng Li, Xingrun Xing, Haoqing Wang +2
Memory is an indispensable capability for long-horizon LLM agents, enabling them to preserve and utilize information accumulated across extended interactions. Existing memory-agent…
Spike-driven Large Language Model
Han Xu, Xuerui Qiu, Baiyu Chen +7
Current Large Language Models (LLMs) are primarily based on large-scale dense matrix multiplications. Inspired by the brain's information processing mechanism, we explore the funda…