Text understanding and language tasks
I am not a NLP guy, but afaik ACL is one of the premium venues of NLP. And given that the results were announced recently, my LinkedIn an...
![[2604.01676] GPA: Learning GUI Process Automation from Demonstrations](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2604.01676: GPA: Learning GUI Process Automation from Demonstrations
Abstract page for arXiv paper 2604.01413: Adaptive Stopping for Multi-Turn LLM Reasoning
This paper presents a novel framework for denoising magnetic navigation data using physics-aware neural networks, addressing challenges i...
This article presents a novel method called Parallelized Iterative Compression (PIC) for enhancing soft prompt compression in Large Langu...
The paper presents Neuromem, a framework for evaluating external memory modules in large language models (LLMs) under a dynamic streaming...
The paper presents statistical early stopping methods for reasoning models, addressing inefficiencies in large language models (LLMs) tha...
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 ...
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