Natural Language Processing

McKinsey's AI Lie Explains What's Happening to Work

Everyone thinks McKinsey just built 25,000 AI experts. They didn't. They took a 35-year-old internal database, put a natural language int...

Midjourney has a new offer on the cancel page there is 20 off for 2 months

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Walmart CEO reportedly brags that company's in-app AI agent is making people spend 35% more money

[2505.18883] Partition Generative Modeling: Masked Modeling Without Masks

The paper introduces Partition Generative Models (PGMs), a novel approach to generative modeling that eliminates mask tokens, improving t...

[2505.11824] Latent Veracity Inference for Identifying Errors in Stepwise Reasoning

This paper presents a novel method for identifying errors in stepwise reasoning using latent veracity inference, enhancing the reliabilit...

[2602.15257] How to Train Your Long-Context Visual Document Model

This article presents a comprehensive study on training long-context visual document models, achieving state-of-the-art performance in vi...

[2501.18891] CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings

The CAAT-EHR paper presents a novel Cross-Attentional Autoregressive Transformer model designed to generate generalizable embeddings from...

[2602.15241] GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon

This paper explores the integration of Generative AI in computing systems, identifying recurring challenges and design principles across ...

[2411.18954] NeuroLifting: Neural Inference on Markov Random Fields at Scale

NeuroLifting introduces a novel approach for inference in large-scale Markov Random Fields (MRFs) using Graph Neural Networks, achieving ...

[2411.12174] Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes

The paper presents a novel framework, Just KIDDIN, that combines Knowledge Distillation and knowledge infusion to improve the detection o...

[2602.15202] Tomography by Design: An Algebraic Approach to Low-Rank Quantum States

This article presents an algebraic algorithm for quantum state tomography, focusing on low-rank quantum states and offering a computation...

[2602.15189] ScrapeGraphAI-100k: A Large-Scale Dataset for LLM-Based Web Information Extraction

ScrapeGraphAI-100k introduces a large-scale dataset for LLM-based web information extraction, addressing limitations of existing datasets...

[2406.07990] Topological quantification of ambiguity in semantic search

This article explores the topological quantification of ambiguity in semantic search, linking sentence-embedding neighborhoods to semanti...

[2602.15139] CGRA-DeBERTa Concept Guided Residual Augmentation Transformer for Theologically Islamic Understanding

The paper presents CGRA-DeBERTa, a novel transformer model designed to enhance question-answering over classical Islamic texts by integra...

[2405.21012] IGC-Net for conditional average potential outcome estimation over time

The paper introduces IGC-Net, a novel neural model designed for estimating conditional average potential outcomes (CAPOs) over time, addr...

[2602.15074] Structure-Aware Piano Accompaniment via Style Planning and Dataset-Aligned Pattern Retrieval

This paper presents a structure-aware method for generating piano accompaniments using a transformer model for style planning and dataset...

[2602.15038] Indic-TunedLens: Interpreting Multilingual Models in Indian Languages

The paper introduces Indic-TunedLens, an interpretability framework designed for multilingual models in Indian languages, enhancing cross...

[2602.15034] EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research

EduResearchBench introduces a novel benchmark for evaluating educational research workflows using a Hierarchical Atomic Task Decompositio...

[2602.15470] The Skeletal Trap: Mapping Spatial Inequality and Ghost Stops in Ankara's Transit Network

This article explores Ankara's public transport crisis, attributing it to structural issues rather than mere inefficiencies. It highlight...

[2602.15423] GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search

GaiaFlow presents a novel framework for carbon-efficient search, employing semantic-guided diffusion tuning to balance retrieval accuracy...

[2602.15725] Recursive Concept Evolution for Compositional Reasoning in Large Language Models

The paper presents Recursive Concept Evolution (RCE), a novel framework that enhances compositional reasoning in large language models by...

[2602.15776] GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems

The paper presents GlobeDiff, a novel algorithm addressing partial observability in multi-agent systems by utilizing a state diffusion pr...

[2602.15645] CARE Drive A Framework for Evaluating Reason-Responsiveness of Vision Language Models in Automated Driving

The article presents CARE Drive, a framework for evaluating the reason-responsiveness of vision language models in automated driving, add...