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

[2602.15238] Closing the Distribution Gap in Adversarial Training for LLMs

This article discusses a novel approach to adversarial training for large language models (LLMs), proposing Distributional Adversarial Tr...

[2602.15236] BindCLIP: A Unified Contrastive-Generative Representation Learning Framework for Virtual Screening

BindCLIP introduces a novel framework for virtual screening, enhancing ligand identification through a unified contrastive-generative lea...

[2602.15222] Automatically Finding Reward Model Biases

This article presents a novel approach to identifying biases in reward models used in large language models (LLMs), highlighting the pote...

[2602.15210] ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset

The paper discusses multilingual data curation strategies for training foundation models, revealing that targeted improvements in data qu...

[2602.15200] COMPOT: Calibration-Optimized Matrix Procrustes Orthogonalization for Transformers Compression

The paper presents COMPOT, a novel framework for compressing Transformer models using Calibration-Optimized Matrix Procrustes Orthogonali...

[2602.15183] Seeing to Generalize: How Visual Data Corrects Binding Shortcuts

This article explores how Vision Language Models (VLMs) enhance performance on text-only tasks by correcting binding shortcuts through vi...

[2602.15155] Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields

The paper presents a Decoupled Representation Refinement (DRR) paradigm for Implicit Neural Representations (INRs), enhancing speed and f...

[2602.15089] Hybrid Feature Learning with Time Series Embeddings for Equipment Anomaly Prediction

This study presents a hybrid approach for equipment anomaly prediction by combining time series embeddings with statistical features, ach...

[D] Semantic Compression Vectors in LLMs: A Field Study on Topic Persistence in 5.1 vs 4o Models

This article explores the effectiveness of Semantic Compression Vectors (SCVs) in large language models (LLMs), comparing the 5.1 and 4o ...

[D] We tested the same INT8 model on 5 Snapdragon chipsets. Accuracy ranged from 93% to 71%. Same weights, same ONNX file.

This article presents findings from testing an INT8 model across five Snapdragon chipsets, revealing significant variations in accuracy, ...

Live demo: This is what AI shopping actually looks like when stores serve structured data via UCP

This article discusses a live demo showcasing AI shopping experiences using structured data via the Universal Commerce Protocol (UCP), hi...

NVIDIA Nemotron 2 Nano 9B Japanese: 日本のソブリンAIを支える最先端小規模言語モデル

NVIDIA has launched the Nemotron-Nano-9B-v2-Japanese, a lightweight language model designed to enhance Japanese language understanding an...

Cohere launches a family of open multilingual models | TechCrunch

Cohere has launched Tiny Aya, a family of open multilingual models that support over 70 languages and can run on everyday devices, enhanc...

[2602.10058] Evaluating Disentangled Representations for Controllable Music Generation

This article evaluates disentangled representations in music generation, focusing on their effectiveness for controllable synthesis and i...

[2602.10551] C^2ROPE: Causal Continuous Rotary Positional Encoding for 3D Large Multimodal-Models Reasoning

The paper presents C^2ROPE, an advanced positional encoding method for 3D Large Multimodal Models, addressing limitations of existing Rot...

[2602.10139] Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible

The paper presents a novel framework for enhancing privacy protection in mobile GUI agents by anonymizing sensitive data while maintainin...

[2602.08274] Language Modeling and Understanding Through Paraphrase Generation and Detection

The paper explores the role of paraphrase generation and detection in language modeling, emphasizing the need for fine-grained semantic u...

[2602.07672] Debugging code world models

The paper explores Code World Models (CWMs), which simulate program execution and identify error sources, focusing on local semantic exec...

[2601.20336] Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis

This study examines the relationship between cryptocurrency whitepaper claims and actual market behavior, revealing weak predictive power...

[2601.15518] DS@GT at TREC TOT 2025: Bridging Vague Recollection with Fusion Retrieval and Learned Reranking

This paper presents a two-stage retrieval system designed for the TREC Tip-of-the-Tongue task, integrating multiple retrieval methods wit...