Actualités
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...
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
arXiv:2505.04253v1 Announce Type: new Abstract: Large Language Models~(LLMs) are prone to hallucinations, and Retrieval-Augmented Generation...
LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm
arXiv:2509.09707v1 Announce Type: cross Abstract: Integrating Large Language Models (LLMs) within metaheuristics opens a novel...
