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No f’ing way is that Fair Use.

DGX agent

No f’ing way is that Fair Use. 🚨OpenAI sued again! Penguin Random House has filed a major lawsuit against OpenAI in Munich. ChatGPT is now generating full stories and illustrations that are virtually

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11 Apr 2026

Research

TMLR reviews stalled [D]

DGX agent

A Reddit discussion thread in the r/MachineLearning community raised concerns about significant delays in the peer review process at the Transactions on Machine Learning Research (TMLR), a rolling-...

Search: “papers”

No f’ing way is that Fair Use.

TMLR reviews stalled [D]

A Benchmark of Classical and Deep Learning Models for Agricultural Commodity Price Forecasting on A Novel Bangladeshi Market Price Dataset

A Decomposition Perspective to Long-context Reasoning for LLMs

A GAN and LLM-Driven Data Augmentation Framework for Dynamic Linguistic Pattern Modeling in Chinese Sarcasm Detection

A solver-in-the-loop framework for end-to-end differentiable coastal hydrodynamics

A Spatial-Spectral-Frequency Interactive Network for Multimodal Remote Sensing Classification

A Unified Multi-Layer Framework for Skill Acquisition from Imperfect Human Demonstrations

Active Reward Machine Inference From Raw State Trajectories

AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

AgentGate: A Lightweight Structured Routing Engine for the Internet of Agents

An Empirical Analysis of Static Analysis Methods for Detection and Mitigation of Code Library Hallucinations

An empirical study of LoRA-based fine-tuning of large language models for automated test case generation

AnchorSplat: Feed-Forward 3D Gaussian Splatting with 3D Geometric Priors

Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions

Assessing the Added Value of Onboard Earth Observation Processing with the IRIDE HEO Service Segment

Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models

BadImplant: Injection-based Multi-Targeted Graph Backdoor Attack

Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification

Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities

Bird-Inspired Spatial Flapping Wing Mechanism via Coupled Linkages with Single Actuator

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook

CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging

CAMotion: A High-Quality Benchmark for Camouflaged Moving Object Detection in the Wild

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation

Clinical Cognition Alignment for Gastrointestinal Diagnosis with Multimodal LLMs

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection

Concave Certificates: Geometric Framework for Distributionally Robust Risk and Complexity Analysis

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts

Cross-Lingual Transfer and Parameter-Efficient Adaptation in the Turkic Language Family: A Theoretical Framework for Low-Resource Language Models

Cross-Tokenizer LLM Distillation through a Byte-Level Interface

CubeGraph: Efficient Retrieval-Augmented Generation for Spatial and Temporal Data

DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration

DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images

DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models

Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings

Distilling Specialized Orders for Visual Generation

Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models

Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning

'Don't Do That!': Guiding Embodied Systems through Large Language Model-based Constraint Generation

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning

E-3DPSM: A State Machine for Event-Based Egocentric 3D Human Pose Estimation

Efficient Provably Secure Linguistic Steganography via Range Coding

ELC: Evidential Lifelong Classifier for Uncertainty Aware Radar Pulse Classification

EMMa: End-Effector Stability-Oriented Mobile Manipulation for Tracked Rescue Robots

Extracting Breast Cancer Phenotypes from Clinical Notes: Comparing LLMs with Classical Ontology Methods

FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs