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MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration

arXiv:2506.19835v1 Announce Type: new Abstract: Recent advancements in medical Large Language Models (LLMs) have showcased...

MALLM: Multi-Agent Large Language Models Framework

arXiv:2509.11656v1 Announce Type: cross Abstract: Multi-agent debate (MAD) has demonstrated the ability to augment collective...

MacroBench: A Novel Testbed for Web Automation Scripts via Large Language Models

arXiv:2510.04363v2 Announce Type: replace-cross Abstract: We introduce MacroBench, a code-first benchmark that evaluates whether LLMs...

M$^3$FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset

arXiv:2506.02510v1 Announce Type: new Abstract: Recent breakthroughs in large language models (LLMs) have led to...

Loss Landscape Degeneracy and Stagewise Development in Transformers

arXiv:2402.02364v3 Announce Type: replace-cross Abstract: Deep learning involves navigating a high-dimensional loss landscape over the...

LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating

arXiv:2412.18424v3 Announce Type: replace-cross Abstract: Large vision language models (LVLMs) have improved the document understanding...

Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models

arXiv:2507.18263v1 Announce Type: new Abstract: Direct speech translation (ST) has garnered increasing attention nowadays, yet...

Localmax dynamics for attention in transformers and its asymptotic behavior

arXiv:2509.15958v1 Announce Type: new Abstract: We introduce a new discrete-time attention model, termed the localmax...

Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning

arXiv:2506.00236v2 Announce Type: replace-cross Abstract: Parameter-efficient fine-tuning (PEFT) methods, such as LoRA, offer compact and...

LLMs Struggle with Real Conversations: Microsoft and Salesforce Researchers Reveal a 39% Performance Drop in Multi-Turn Underspecified Tasks

Conversational artificial intelligence is centered on enabling large language models (LLMs) to engage in dynamic...

LLMs for Customized Marketing Content Generation and Evaluation at Scale

arXiv:2506.17863v1 Announce Type: new Abstract: Offsite marketing is essential in e-commerce, enabling businesses to reach...

LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Models

arXiv:2506.05385v1 Announce Type: new Abstract: Semantic role labeling (SRL) is a crucial task of natural...

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