Text understanding and language tasks
We did experiments comparing Optuna & autoresearch. Autoresearch converges faster, is more cost-efficient, and even generalizes bette...
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...
![[2504.12007] Diffusion Generative Recommendation with Continuous Tokens](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents ContRec, a novel framework that integrates continuous tokens into LLM-based recommender systems, enhancing user prefer...
This systematic review analyzes a decade of progress in Natural Language Processing (NLP) for the Yorùbá language, highlighting challenge...
The paper presents CS-Aligner, a novel framework for vision-language alignment that integrates Cauchy-Schwarz divergence with mutual info...
This paper explores enhancing language models' lateral thinking abilities by integrating humor and riddle datasets for the BRAINTEASER ta...
The paper presents HybridDeepSearcher, a novel approach that enhances search reasoning by integrating parallel query expansion with struc...
The paper presents TASER, a system designed for schema-guided extraction and recommendation from complex financial tables, improving data...
The article presents AutoEDA, a framework that utilizes microservice-based LLM agents to automate Electronic Design Automation (EDA) proc...
This paper presents STPR, a framework that utilizes large language models to convert complex natural language constraints into executable...
This survey reviews optimization techniques for Large Language Model (LLM)-based agents, categorizing methods into parameter-driven and p...
This paper explores the concept of Test-Time Training (TTT) with KV binding, revealing that it functions as learned linear attention rath...
The paper explores the trade-off between Pass@k and Pass@1 performance metrics in large language models, revealing how optimizing for Pas...
PVminer is a novel NLP framework designed to detect the patient voice in patient-generated data, improving the analysis of patient-provid...
The paper presents SparkMe, a multi-agent LLM system designed for adaptive semi-structured interviewing, enhancing qualitative data colle...
The paper presents a novel kernelized self-attention mechanism designed to enhance next-item recommendations by improving the representat...
This article discusses the concept of an Agentic Infused Software Ecosystem (AISE), emphasizing the need for a holistic approach to integ...
This paper presents a novel training-free method for improving automatic speech recognition (ASR) in noisy environments by using intellig...
The paper presents E-MMKGR, a unified framework for multimodal knowledge graphs tailored for e-commerce, enhancing recommendation systems...
The paper presents RMIT-ADM+S, an award-winning system for the Text-to-Text track at the NeurIPS 2025 Competition, featuring a novel retr...
The paper presents SibylSense, a novel approach to adaptive rubric learning that enhances reward mechanisms in reinforcement learning thr...
The paper presents COMmunication inspired Tokenization (COMiT), a novel framework for structured image representations that enhances obje...
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