Automate IOS devices through XCUITest with droidrun.
Automate iOS apps with XCUITest and Droidrun using just natural language. You send the command to Droidrun, and the agent starts the task...
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...
This article investigates whether large language models (LLMs) adhere to external label definitions or rely on internal representations, ...
The paper discusses Diffusion Language Models (DLMs) and introduces a new decoding method called Prophet, which allows for faster inferen...
This paper presents a novel method for detecting hallucinations in large language models (LLMs) using probabilistic distances in retrieva...
The paper presents LeanPremise, a neural premise selection system that enhances LeanHammer, a tool for automated reasoning in proof assis...
The paper presents Knowledgeable-R1, a reinforcement-learning framework designed to enhance retrieval-augmented generation (RAG) by mitig...
This paper investigates the limitations of transformer models in performing basic counting tasks, revealing a critical relationship betwe...
The paper presents a novel framework for part retrieval in 3D CAD assemblies using vision-language models, emphasizing training-free meth...
The paper presents Med-REFL, a framework designed to enhance medical reasoning in AI by enabling self-correction through fine-grained ref...
The paper presents an automated framework for translating benchmarks and datasets for multilingual Large Language Model evaluation, addre...
This article explores the phenomenon of 'Cultural Ghosting' in large language models (LLMs), highlighting the systematic erasure of cultu...
The paper presents TG-ASR, a translation-guided framework for improving automatic speech recognition in low-resource languages, specifica...
This article presents a novel approach to Kilometer Marker Recognition (KMR) using RGB-event cameras, enhancing visual perception for aut...
This paper presents a novel method for enhancing LLM-based unit test generation by eliminating covered code, addressing challenges in tes...
The paper presents DynamicGTR, a framework that enhances Vision-Language Models (VLMs) by dynamically selecting optimal graph topology re...
The paper introduces StoryMovie, a dataset designed for aligning visual stories with movie scripts and subtitles, enhancing dialogue attr...
This paper evaluates methods for context length extrapolation in long code using positional embeddings and efficient attention mechanisms...
This article explores the relationship between regularity and learnability in recursive numeral systems using Reinforcement Learning, dem...
This paper presents an optimized cascaded Nepali-English speech-to-text translation system that mitigates structural noise from ASR, enha...
The paper presents Structurally Aligned Subtask-Level Memory, a novel approach for enhancing software engineering agents by improving mem...
This article explores the challenges of retrieving public service information in low-resource environments, focusing on food pantry acces...
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