activity
20242026
most citedEnhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns

12 citations · 13 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG2026

UNISON: A Unified Framework for Learning from Scored Bags

Ofek Kirshenboim, Or Shkuri, Shani Finkelshtein +1

We introduce UNISON, a unified framework that bridges multiple instance learning and recommendation systems by treating both as instances of learning from scored bag collections of…

cs.CV2026

PLUME: Latent Reasoning Based Universal Multimodal Embedding

Chenwei He, Xiangzhao Hao, Tianyu Yang +6

Universal multimodal embedding (UME) maps heterogeneous inputs into a shared retrieval space with a single model. Recent approaches improve UME by generating explicit chain-of-thou…

cs.CV2026

Focus on What Really Matters in Low-Altitude Governance: A Management-Centric Multi-Modal Benchmark with Implicitly Coordinated Vision-Language Reasoning Framework

Hao Chang, Zhihui Wang, Lingxiang Wu +5

Low-altitude vision systems are becoming a critical infrastructure for smart city governance. However, existing object-centric perception paradigms and loosely coupled vision-langu…

cs.CV2025

PixCLIP: Achieving Fine-grained Visual Language Understanding via Any-granularity Pixel-Text Alignment Learning

Yicheng Xiao, Yu Chen, Haoxuan Ma +5

While the Contrastive Language-Image Pretraining(CLIP) model has achieved remarkable success in a variety of downstream vison language understanding tasks, enhancing its capability…

cs.CL2025

OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model

Chen Wang, Tianyu Peng, Wen Yang +8

Empathetic interaction is a cornerstone of human-machine communication, due to the need for understanding speech enriched with paralinguistic cues and generating emotional and expr…

cs.CL2024★ 1 cited

Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection

Xingyu Ma, Xin Tian, Lingxiang Wu +3

Text-to-SQL is a subtask in semantic parsing that has seen rapid progress with the evolution of Large Language Models (LLMs). However, LLMs face challenges due to hallucination iss…

cs.CV2024

AnyDesign: Versatile Area Fashion Editing via Mask-Free Diffusion

Yunfang Niu, Dong Yi, Lingxiang Wu +2

Fashion image editing aims to modify a person's appearance based on a given instruction. Existing methods require auxiliary tools like segmenters and keypoint extractors, lacking a…

cs.CL2024★ 12 cited

Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns

Yufeng Zhang, Xuepeng Wang, Lingxiang Wu +1

Chain of Thought (CoT) prompting can encourage language models to engage in multi-step logical reasoning. The quality of the provided demonstrations significantly influences the su…

cs.CV2024

PFDM: Parser-Free Virtual Try-on via Diffusion Model

Yunfang Niu, Dong Yi, Lingxiang Wu +3

Virtual try-on can significantly improve the garment shopping experiences in both online and in-store scenarios, attracting broad interest in computer vision. However, to achieve h…