most citedGLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2025

SynParaSpeech: Automated Synthesis of Paralinguistic Datasets for Speech Generation and Understanding

Bingsong Bai, Qihang Lu, Wenbing Yang +8

Paralinguistic sounds, like laughter and sighs, are crucial for synthesizing more realistic and engaging speech. However, existing methods typically depend on proprietary datasets,…

cs.RO2025

TeraSim-World: Worldwide Safety-Critical Data Synthesis for End-to-End Autonomous Driving

Jiawei Wang, Haowei Sun, Xintao Yan +3

Safe and scalable deployment of end-to-end (E2E) autonomous driving requires extensive and diverse data, particularly safety-critical events. Existing data are mostly generated fro…

cs.CV2025

Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations

Yifan Lu, Ziqi Zhang, Chunfeng Yuan +5

Large Vision-Language Models (LVLMs) suffer from serious hallucination problems, where the model-generated responses are inconsistent with the visual inputs. Existing hallucination…

cs.CL20254 cited

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

5 Team, Aohan Zeng, Xin Lv +167

We present GLM-4.5, an open-source Mixture-of-Experts (MoE) large language model with 355B total parameters and 32B activated parameters, featuring a hybrid reasoning method that s…

cs.CV2025

DetailFusion: A Dual-branch Framework with Detail Enhancement for Composed Image Retrieval

Yuxin Yang, Yinan Zhou, Yuxin Chen +8

Composed Image Retrieval (CIR) aims to retrieve target images from a gallery based on a reference image and modification text as a combined query. Recent approaches focus on balanc…