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2,489 articles changed in the last 30 days; 52 are new in the last 7 days. Dates show when an article's text last changed, so link and formatting passes do not move it up the list. Page 49 of 50.

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Sunday, May 31, 2026

Word error ratev4Word error rate (WER) is the standard metric for measuring the accuracy of an automatic speech recognition (ASR) system
Kolmogorov-Arnold Networkv6A Kolmogorov-Arnold Network (KAN) is a type of neural network architecture proposed as an alternative to the traditional Multi-Layer Perceptron (MLP).
AI deceptionv5AI deception refers to the phenomenon in which artificial intelligence systems systematically produce false beliefs in users, evaluators, or other systems, whether through learned behavior, optimization…
Video Classification Modelsv7Video classification models are machine learning systems that assign one or more category labels to a video clip, typically describing the human action depicted.
Feature Extraction Modelsv5Feature extraction models are machine learning systems that transform raw inputs such as text, images, or audio into dense numerical vectors known as embeddings or hidden-state representations.
Graph Machine Learning Modelsv5Graph machine learning models are neural networks designed to operate on data structured as graphs, where the input is a set of nodes connected by edges rather than a grid like an image or a sequence like text.
Robotics Modelsv6Robotics models are machine learning systems that give robots the ability to perceive their surroundings, plan actions, and execute motor control.
Document Question Answering Modelsv6Document question answering models (DocQA, sometimes called DocVQA for document visual question answering) are machine learning systems that take a document image or PDF together with a natural language…
Audio Classification Modelsv5Audio classification models are machine learning systems for audio classification, the task of assigning one or more labels to an audio recording or to short fragments of it.

Saturday, May 30, 2026

Video GPT by VEEDv6Video GPT by VEED (also stylized as VideoGPT by VEED) is an artificial intelligence text-to-video tool developed by the London-based online video editing company VEED.IO.
Quantum processorv7A quantum processing unit (QPU), also called a quantum processor, is the hardware component of a quantum computer that holds and manipulates qubits to perform quantum logic operations.

Sunday, May 24, 2026

Claude Code Playwrightv7Claude Code Playwright refers to the practice and integration of using Claude Code, Anthropic's agentic coding tool available in the terminal, IDEs, and via API

Thursday, May 21, 2026

WRAP (Web Rephrase Augmented Pre-training)v4WRAP (Web Rephrase Augmented Pre-training) is a synthetic-data pre-training method introduced in the paper "Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling," posted to arXiv on 29…
Würstchenv5Würstchen is an efficient three-stage cascaded latent diffusion architecture for text-to-image synthesis introduced by Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal
WMDP benchmarkv5The Weapons of Mass Destruction Proxy (WMDP) is a publicly released benchmark and unlearning testbed for large language models, introduced in the paper "The WMDP Benchmark: Measuring and Reducing Malicious Use…
InternVideov5InternVideo is a family of general-purpose video foundation models developed by OpenGVLab at the Shanghai Artificial Intelligence Laboratory in collaboration with Nanjing University and the Shenzhen Institutes…
AlphaFold-Multimer

Wednesday, May 20, 2026

Trusted Execution Environments for machine learningv5Trusted Execution Environments for machine learning (TEEs for ML, sometimes marketed as "Confidential AI" or "confidential inference") are deployments of hardware-isolated execution environments to run…
Homomorphic encryption for machine learningv5Homomorphic encryption for machine learning is the application of fully, somewhat, or leveled homomorphic encryption (FHE, SHE, LHE) so that a server can run machine learning computations, almost always…
Backdoor attacks on large language modelsv5A backdoor attack on a large language model (LLM) is an adversarial training-time attack in which an attacker manipulates training data, fine-tuning data, preference labels, or model weights so that the…
Membership Inference Attackv5A Membership Inference Attack (MIA) is a privacy attack against a trained machine learning model in which an adversary, given a candidate data record and access to the model

Tuesday, May 19, 2026

Flash-Decodingv4Flash-Decoding is an inference-time variant of the FlashAttention algorithm that targets the decoding (autoregressive generation) phase of large language model inference
Sliding window attentionv6Sliding window attention (SWA) is a sparse attention pattern in which each query token attends only to a fixed-size window of nearby tokens instead of to every preceding (or every other) token in the sequence.
Kadrey v. Metav4Kadrey v. Meta Platforms, Inc. is a putative class action lawsuit filed in 2023 by a group of book authors against Meta Platforms, Inc., alleging that Meta infringed their copyrights by training its LLaMA…
Authors Guild v. OpenAIv4Authors Guild et al. v. OpenAI, Inc., et al. is a putative class action copyright lawsuit filed in the United States District Court for the Southern District of New York (SDNY) on September 19, 2023, by The…
UMG v. Uncharted Labs (Udio)

Monday, May 18, 2026

GitHub Copilot Workspacev6GitHub Copilot Workspace was a task-centric, AI-powered developer environment built by GitHub Next, the research and incubation arm of GitHub.
Cybenchv6Cybench (short for Cybersecurity benchmark) is an open-source evaluation framework for measuring the cybersecurity capabilities and risks of large language model agents.

NewerPage 49 of 50Older

AlphaFold-Multimer is a deep learning system for predicting the three-dimensional structures of protein complexes, released by Google DeepMind in October 2021 as an extension of AlphaFold 2.

Least-to-Most Promptingv4Least-to-Most Prompting is a few-shot prompting technique for large language models introduced by researchers at Google Brain in May 2022.

Graph of Thoughtsv4Graph of Thoughts (GoT) is a prompting and reasoning framework that models the intermediate steps of a large language model as an arbitrary directed graph rather than a linear chain or a tree.

Skeleton-of-Thoughtv5Skeleton-of-Thought (SoT) is a prompting technique for large language models that reduces end-to-end generation latency by first eliciting a short outline of the answer (the "skeleton") and then expanding each…

Chain of Density promptingv5Chain of Density (CoD) is a prompting technique for abstractive text summarization with large language models, introduced in the 2023 paper "From Sparse to Dense: GPT-4 Summarization with Chain of Density…

Self-Discover promptingv5Self-Discover is a prompting framework for large language models in which the model first composes a task-specific reasoning structure from a library of atomic reasoning modules

Pallas (JAX kernel language)v5Pallas is an experimental extension to JAX that lets users write custom hardware kernels in Python and lower them to both Tensor Processing Units and NVIDIA GPUs from a single source.

ThunderKittensv5ThunderKittens (often abbreviated TK) is an embedded C++ domain-specific language and header-only library for writing high-performance AI kernels on modern NVIDIA GPUs.

torch.compilev6torch.compile is the just-in-time graph capture and compilation feature introduced in PyTorch 2.0, a release first announced at the PyTorch Conference on December 2, 2022 and shipped as a stable version on…

Mike Lewisv7Mike Lewis is a natural language processing researcher based in Seattle and a research scientist at Meta AI, where he joined Facebook AI Research (FAIR) and was described in 2024 and 2025 as the pre-training…

SEDD (Score Entropy Discrete Diffusion)v5Score Entropy Discrete Diffusion (SEDD) is a discrete diffusion model for language and other discrete data introduced by Aaron Lou, Chenlin Meng, and Stefano Ermon at Stanford University in the paper Discrete…

YOCO (You Only Cache Once)v5YOCO ("You Only Cache Once") is a decoder-decoder neural network architecture for large language models introduced by researchers at Microsoft Research and Tsinghua University in May 2024.

EAGLE-2v5EAGLE-2 ("Faster Inference of Language Models with Dynamic Draft Trees") is the second generation of the EAGLE family of speculative decoding methods for accelerating large language model inference, introduced…

Lookahead Decodingv5Lookahead Decoding is a parallel decoding algorithm for accelerating inference in large language models, introduced in November 2023 by Yichao Fu, Peter Bailis, Ion Stoica, and Hao Zhang from the Hao AI Lab at…

Rule-Based Rewards (RBR)v5Rule-Based Rewards (RBR) is a safety-alignment technique introduced by OpenAI in July 2024 that replaces large quantities of human-labeled safety preference data with an explicit collection of natural-language…

LIMA (Less Is More for Alignment)v4LIMA, short for "Less Is More for Alignment," is a 2023 research paper by Chunting Zhou and colleagues at Meta AI, Carnegie Mellon University, the University of Southern California, and Tel Aviv University…

Intel Loihiv5Intel Loihi is a family of research neuromorphic processors developed by Intel Labs to implement spiking neural networks (SNNs) in silicon, with the stated goals of energy-efficient inference, online learning…

Untether AIv4Untether AI Corp. was a Toronto-based fabless semiconductor startup that designed energy-efficient inference accelerators based on a proprietary "at-memory compute" architecture, in which large arrays of small…

OpenOrcav5

OpenOrca is a large open-source instruction-tuning dataset that augments the FLAN Collection with chain-of-thought responses generated by OpenAI's GPT-3.5 and GPT-4 APIs.

Lumierev5Lumiere is a text-to-video diffusion model developed by Google Research in collaboration with researchers from the Weizmann Institute of Science, Tel Aviv University, and the Technion

LTX-Videov5LTX-Video is an open-source, transformer-based latent video diffusion model developed by the Israeli company Lightricks and first released to the public in November 2024.

H2O (Heavy-Hitter Oracle for KV Cache)v5H2O (Heavy-Hitter Oracle) is a training-free, runtime KV cache eviction policy for autoregressive large language model inference.

LongRoPEv5LongRoPE is a context-window extension technique for large language models (LLMs) that use rotary position embeddings (RoPE).

StreamingLLMv6StreamingLLM is an inference-time technique that allows pretrained transformer language models, originally trained with a finite attention window

LongNetv6LongNet is a transformer variant introduced by Microsoft Research in July 2023 that is designed to scale attention to sequences exceeding one billion tokens while preserving performance on shorter inputs.

Guidance (library)v5Guidance is an open-source Python library, originally developed at Microsoft Research, for building structured, multi-step programs that drive large language models.

Outlines (library)v4Outlines is an open-source Python (programming language) library, released under the Apache 2.0 license, that constrains large language model output to user-specified structures: regular expressions, function…

Open Interpreterv5Open Interpreter is an open-source desktop agent, distributed as a Python command-line tool and library, that lets a large language model write and execute code locally on the user's machine.

ChatDevv4ChatDev is an open-source multi-agent software development framework in which large language model (LLM) agents play role-specialized parts (Chief Executive Officer, Chief Technology Officer, programmer…

Voyager (Minecraft LLM agent)v5Voyager is an open-ended embodied agent that uses a large language model to play Minecraft by writing, executing, and storing JavaScript programs against the Mineflayer bot API.

EDM (Elucidating Diffusion Models)v5EDM is the common shorthand for the paper "Elucidating the Design Space of Diffusion-Based Generative Models" by Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine of NVIDIA, presented at NeurIPS 2022.