activity
20202026
most citedAdversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors

35 citations · 68 across the 17 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.LG2026★ 1 cited

GLM-5: from Vibe Coding to Agentic Engineering

GLM-5-Team, :, Aohan Zeng +184

We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (AR…

cs.IR2026

QP-OneModel: A Unified Generative LLM for Multi-Task Query Understanding in Xiaohongshu Search

Jianzhao Huang, Xiaorui Huang, Fei Zhao +9

Query Processing (QP) bridges user intent and content supply in large-scale Social Network Service (SNS) search engines. Traditional QP systems rely on pipelines of isolated discri…

cs.LG2026

: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness

Lang Xiong, Ning Liu, Ao Ren +6

Large language models (LLMs) face significant deployment challenges due to their massive computational demands. % While pruning offers a promising compression solution, existing me…

cs.LG2026

GatedFWA: Linear Flash Windowed Attention with Gated Associative Memory

Jiaxu Liu, Yuhe Bai, Xiangyu Yin +1

Modern autoregressive models rely on attention, yet the Softmax full attention in Transformers scales quadratically with sequence length. Sliding Window Attention (SWA) achieves li…

cs.DL2026

The Rise of Large Language Models and the Direction and Impact of US Federal Research Funding

Yifan Qian, Zhe Wen, Alexander C. Furnas +3

Federal research funding shapes the direction, diversity, and impact of the US scientific enterprise. Large language models (LLMs) are rapidly diffusing into scientific practice, h…

cs.CL2026★ 18 cited

OpenAI GPT-5 System Card

Aaditya Singh, Adam Fry, Adam Perelman +483

This is the system card published alongside the OpenAI GPT-5 launch, August 2025. GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper reason…