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20242026
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cs.CL2026

Auditing Agent Harness Safety

Chengzhi Liu, Yichen Guo, Yepeng Liu +8

LLM agents increasingly run inside execution harnesses that dispatch tools, allocate resources, and route messages between specialized components. However, a harness can return a c…

cs.CL2026

Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models

Jingxuan Wu, Zhenglin Wan, Xingrui Yu +4

Diffusion language models (Diffusion-LMs) introduce an explicit temporal dimension into text generation, yet how this structure can be leveraged to control generation diversity for…

cs.CL2025

Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations

Chengzhi Liu, Yuzhe Yang, Kaiwen Zhou +5

The promotion of academic papers has become an important means of enhancing research visibility. However, existing automated methods struggle limited storytelling, insufficient aes…

cs.CL2025

Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models

Zihao Li, Xu Wang, Yuzhe Yang +3

Large Language Models (LLMs) demonstrate the ability to solve reasoning and mathematical problems using the Chain-of-Thought (CoT) technique. Expanding CoT length, as seen in model…

cs.CL2024

FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models

Jiaqi Wu, Simin Chen, Yuzhe Yang +6

In recent years, large language models (LLMs) have significantly advanced the field of natural language processing (NLP). By fine-tuning LLMs with data from specific scenarios, the…

cs.CL20244 cited

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Jimin Huang, Mengxi Xiao, Dong Li +41

Financial LLMs hold promise for advancing financial tasks and domain-specific applications. However, they are limited by scarce corpora, weak multimodal capabilities, and narrow ev…