Text understanding and language tasks
Automate iOS apps with XCUITest and Droidrun using just natural language. You send the command to Droidrun, and the agent starts the task...
I trained a BERT-style transformer on 276K Kubernetes YAML files, replacing standard positional encoding with learned tree coordinates (d...
Hi guys, I'm a PhD student in Applied AI and I've been building an embeddable graph database engine from scratch in Rust. I'd love feedba...
![[2602.21701] Learning Complex Physical Regimes via Coverage-oriented Uncertainty Quantification: An application to the Critical Heat Flux](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This article explores the application of coverage-oriented uncertainty quantification (UQ) in scientific machine learning, focusing on th...
The paper introduces TiMi, a novel approach that enhances time series forecasting by integrating multimodal data through a Mixture of Exp...
The paper presents NGDB-Zoo, a framework designed to enhance the training efficiency of Neural Graph Databases (NGDBs) by decoupling logi...
The paper introduces Interleaved Head Attention (IHA), a novel approach to Multi-Head Attention (MHA) that enhances reasoning capabilitie...
The paper presents SOAR, a novel decoding algorithm for Diffusion Language Models that adapts its search strategy based on model confiden...
The paper introduces xMemory, a novel approach to agent memory systems that enhances retrieval by decoupling and aggregating semantic com...
The paper introduces LatentLens, a method for mapping visual tokens to natural language descriptions in Vision-Language Models (VLMs), en...
The OGD4All framework enhances citizen interaction with geospatial Open Government Data using Large Language Models, achieving high accur...
The paper introduces HEART, a benchmark for evaluating emotional support dialogue in humans and LLMs, focusing on empathy and communicati...
The paper presents RebuttalAgent, a framework using Theory of Mind for strategic persuasion in academic rebuttals, addressing the complex...
This article presents a unified framework for Aerial Vision-Language Navigation (VLN), enabling UAVs to interpret natural language and na...
The paper presents the Reasoning Process Tree Score (RPTS), a novel metric for evaluating reasoning in Large Vision-Language Models (LVLM...
The paper presents EARL, an Entropy-Aware Reinforcement Learning framework designed to enhance the reliability of RTL code generation by ...
The paper presents Cosmos-Predict2.5, an advanced model for world simulation in Physical AI, integrating various generation methods and i...
The paper presents SLM-MUX, a novel architecture for orchestrating small language models (SLMs) to improve reasoning accuracy, achieving ...
The paper presents EpidemIQs, a multi-agent framework utilizing large language models for efficient epidemic modeling, demonstrating impr...
The paper presents an innovative framework called Truthful Text Summarization (TTS) aimed at enhancing the factual accuracy of multi-sour...
This article explores the foundational bottlenecks in multimodal reasoning, highlighting how additional modalities can enhance or hinder ...
The paper presents DivEye, a novel framework for detecting AI-generated text by analyzing unpredictability in text structure and vocabula...
The paper introduces ClearFairy, an AI assistant designed to enhance decision-making in creative workflows by structuring reasoning and i...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime