Text understanding and language tasks
Hi everyone, I'm currently in the evaluation phase of my Final Year Project and am looking for feedback on the system I've built. It's ca...
Hello everyone. I submitted my work to ICML 26 this year, and it got somewhat above average reviews. Now, in the rebuttal acknowledgment,...
Nominate your startup, or one you know, and apply for a chance at VC access, TechCrunch coverage, and $100K for Startup Battlefield 200.
![[2602.13933] HyMem: Hybrid Memory Architecture with Dynamic Retrieval Scheduling](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents HyMem, a hybrid memory architecture designed to enhance the performance of large language models (LLMs) in extended di...
This article presents a novel zero-order optimization framework for fine-tuning large language models (LLMs) using learnable direction sa...
The paper presents VSAL, a vision-based framework for graph property detection that utilizes adaptive layouts to enhance the detection of...
This article presents a novel method for graph embedding that addresses over-smoothing in Neighborhood Aggregation Strategy (NAS) methods...
The paper presents the Experimentation Accelerator, a framework that enhances A/B testing by providing interpretable insights and creativ...
This paper explores the alignment of singular vectors of attention heads with feature representations in language models, providing theor...
TrasMuon introduces a novel optimization technique that enhances the stability and efficiency of orthogonalized momentum optimizers, outp...
This article presents a novel approach to understanding prompt-specific circuits in language models, demonstrating that circuits vary by ...
The paper 'Text Has Curvature' explores the concept of intrinsic curvature in language, proposing a new measurement called Texture to ana...
The paper discusses a novel Entropy-Based Adaptive Guidance Framework for enhancing collaboration in heterogeneous multi-agent systems us...
The paper introduces Hippocampus, a scalable memory module designed for agentic AI, enhancing retrieval speed and storage efficiency comp...
This paper presents a novel approach to differentiable rule induction from raw sequence inputs, enhancing interpretability in machine lea...
The paper presents Blueprint, a multimodal retrieval system designed to enhance the accessibility of complex engineering drawings and doc...
The paper introduces Directional Concentration Uncertainty (DCU), a flexible framework for uncertainty quantification in generative model...
The paper presents REMem, a novel framework for enhancing language agents' episodic memory, enabling better recollection and reasoning ov...
This study explores automated detection of jailbreak attempts in clinical training large language models (LLMs) using linguistic feature ...
The paper introduces ProMoral-Bench, a benchmark for evaluating prompting strategies in large language models (LLMs) focused on moral rea...
The paper introduces X-Blocks, a framework for analyzing natural language explanations in automated vehicles, enhancing user trust and un...
The paper introduces Lang2Act, a novel framework for enhancing visual reasoning in Vision-Language Models (VLMs) through self-emergent li...
NL2LOGIC presents a novel framework for translating natural language into first-order logic using large language models, enhancing accura...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime