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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
60Added by human
127,604Found by agent
13Categories

Knowledge catalogue

Search: “llm”

GridTimelineEvolution
22,011 results
Safety

FreqDepthKV: Frequency-Guided Depth Sharing for Robust KV Cache Compression in Long-Context LLM Inference

DGX agent

arXiv:2607.06519v1 Announce Type: new Abstract: Long-context LLM inference is increasingly limited by the memory and bandwidth cost of KV caches, yet aggressive compression can remove the layer-specif

safetyarxiv-cs-ai
8 Jul 2026
Human
DGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Safety

From Blueprint to Reality: Modeling and Applying Putnam's Social Capital Theory with LLM-based Multi-agent Simulations

DGX agent

arXiv:2607.06080v1 Announce Type: cross Abstract: Putnam's Social Capital Theory is a foundational framework for collective action and community prosperity. However, traditional empirical methods face

safetyarxiv-cs-ai
8 Jul 2026
Agents

Highly-recommended read. Aligns with what I see in my own harness: > Pi harness got the same success rate as harnesses from the LLM vendors …

DGX agent

Highly-recommended read. Aligns with what I see in my own harness: > Pi harness got the same success rate as harnesses from the LLM vendors with Opus and GPT, but at 2x less cost > GLM 5.2 was a major

agentsdair-ai--x
8 Jul 2026
Model Releases

IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning

DGX agent

arXiv:2603.20182v4 Announce Type: replace Abstract: Although robot-to-robot (R2R) communication improves indoor scene understanding beyond what a single robot can achieve, R2R alone cannot overcome pa

model-releasesarxiv-cs-ro
8 Jul 2026
Safety

Information Gain-based Rollout Policy Optimization: An Adaptive Tree-Structured Rollout Approach for Multi-Turn LLM Agents

DGX agent

arXiv:2607.06223v1 Announce Type: new Abstract: Reinforcement learning has become a promising paradigm for improving large language model (LLM) agents on long-horizon search tasks, where the agent mus

safetyarxiv-cs-ai
8 Jul 2026
Model Releases

LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability

DGX agent

arXiv:2607.06157v1 Announce Type: cross Abstract: Deliberation plays a crucial role in collaboration; when humans work together, they naturally engage in communication to align information and reach a

model-releasesarxiv-cs-ai
8 Jul 2026
Safety

MASCA: LLM based-Multi Agents System for Credit Assessment

DGX agent

arXiv:2507.22758v2 Announce Type: replace Abstract: Recent advancements in financial problem-solving have leveraged LLMs and agent-based systems, with a primary focus on trading and financial modeling

safetyarxiv-cs-cl
8 Jul 2026
Model Releases

More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges

DGX agent

arXiv:2607.05904v1 Announce Type: new Abstract: Training a language model against its own reference-free judgments (the premise of self-rewarding, self-play, and LLM-as-a-judge pipelines) assumes a mo

model-releasesarxiv-cs-lg
8 Jul 2026
Research

Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure Benchmarks

DGX agent

arXiv:2607.05545v1 Announce Type: cross Abstract: LLM conformity is often used to describe cases where a model changes a correct answer toward a peer or group response. We show that most of this appar

researcharxiv-cs-ai
8 Jul 2026
Model Releases

Think Before You Grid-Search: Floor-First Triage for LLM Serving

DGX agent

arXiv:2607.05876v1 Announce Type: cross Abstract: LLM serving optimization typically benchmarks many configurations and reaches for heavy profilers when latency targets are missed. We argue for the re

model-releasesarxiv-cs-ai
8 Jul 2026
Hardware

We're releasing ZML/LLMD, our homegrown LLM server built on top of our homegrown high performance heterogeneous inference stack. It ships wi…

DGX agent

We're releasing ZML/LLMD, our homegrown LLM server built on top of our homegrown high performance heterogeneous inference stack. It ships with 5 architectures out of the box: NVIDIA, AMD, Metal, Intel

hardwareyann-lecun--x
8 Jul 2026
Tutorials

Detecting Answer-Driven Reasoning in LLM-Based Educational Tutors via Truncated Chain-of-Thought Auditing

DGX agent

arXiv:2607.04572v1 Announce Type: new Abstract: Large language model (LLM) tutors often produce fluent step-by-step explanations, but a correct and pedagogically formatted response does not guarantee

tutorialsarxiv-cs-ai
7 Jul 2026
Local Ai

Elastic Gang: Per-Token Membership Change for a Hard-Barriered LLM Inference Gang Co-Scheduled with OS Processes

DGX agent

arXiv:2607.04668v1 Announce Type: cross Abstract: On-device LLM decoding is a hard-barriered CPU-SIMD computation that wants every core for milliseconds per token, while the rest of the OS wants those

local-aiarxiv-cs-ai
7 Jul 2026
Research

From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving

DGX agent

arXiv:2607.02574v1 Announce Type: cross Abstract: The key-value (KV) cache has become a first-order memory object in LLM serving rather than a temporary per-request tensor. This survey classifies more

researcharxiv-cs-ai
7 Jul 2026
Model Releases

HiFA4: Training-Free 4-bit FlashAttention on Ascend HIF4 NPUs for LLM Inference

DGX agent

arXiv:2607.04302v1 Announce Type: cross Abstract: We present HiFA4, a post-training operator-level design that executes both QK^T and PV in FlashAttention as 4-bit HIF4 Cube GEMMs for LLM inference on

model-releasesarxiv-cs-ai
7 Jul 2026
Model Releases

LLM-Based Test Oracles: Source-of-Authority Taxonomy -- A Systematic Literature Review

DGX agent

arXiv:2607.05031v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to produce test oracles, the part of a test that decides whether observed behavior is correct. Yet

model-releasesarxiv-cs-ai
7 Jul 2026
Agents

llm wikis are a glimpse of the future of what agent memory looks like this blog i wrote resonated with a lot of folks will be discussing thi…

DGX agent

llm wikis are a glimpse of the future of what agent memory looks like this blog i wrote resonated with a lot of folks will be discussing this (as well as some updates ive made to my beliefs since this

agentsharrison-chase--x
7 Jul 2026
Local Ai

MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution

DGX agent

arXiv:2607.05297v1 Announce Type: new Abstract: Recent LLM agents tackle increasingly long-horizon, open-ended tasks, and external skills, reusable procedural knowledge supplied to the agent, further

local-aiarxiv-cs-ai
7 Jul 2026
Hardware

PEEK: Predictive Queue-Informed KV Cache Management for LLM Serving

DGX agent

arXiv:2607.02525v1 Announce Type: cross Abstract: We present PEEK, a lightweight scheduling and eviction framework for both online (streaming) and offline (batch) LLM serving; this paper focuses on th

hardwarearxiv-cs-ai
7 Jul 2026
Safety

R^2PO: Decoupling Rollout and Inference Policies for LLM Reasoning

DGX agent

arXiv:2601.11960v3 Announce Type: replace-cross Abstract: Existing reinforcement learning methods for LLM reasoning implicitly assume that the policy generating training trajectories should coincide w

safetyarxiv-cs-ai
7 Jul 2026
Safety

Shapley-based Data Valuation for LLM Alignment via Sequential Preference Optimization

DGX agent

arXiv:2512.15765v3 Announce Type: replace Abstract: Data valuation is a natural framework for understanding which preference datasets matter most when aligning a Large Language Model (LLM) using multi

safetyarxiv-cs-lg
7 Jul 2026
Hardware

SPORK: Self-Speculative Forking to Accelerate Agentic LLM Inference

DGX agent

arXiv:2607.03333v1 Announce Type: cross Abstract: LLM agents are becoming a common interface for research, coding, and question answering, yet their Thought-Action-Observation loop is often serial: th

hardwarearxiv-cs-ai
7 Jul 2026
Safety

STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training

DGX agent

arXiv:2607.04963v1 Announce Type: new Abstract: Reinforcement Learning (RL) is the dominant paradigm for training Large Language Model (LLM) agents on long-horizon tasks. However, sparse and delayed r

safetyarxiv-cs-ai
7 Jul 2026
Agents

Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor

DGX agent

arXiv:2507.15903v2 Announce Type: replace-cross Abstract: Empowered by large language models (LLMs), intelligent agents have become a popular paradigm for interacting with open environments to facilit

agentsarxiv-cs-ai
7 Jul 2026
Local Ai

v0.31.2-rc2: llm: allow iGPU mmproj offload with fit padding (#16996)

DGX agent

This release candidate introduces support for offloading the image GPU projection (mmproj) to an integrated GPU when using fit padding in Ollama's LLM processing, addressing technical improvements for

local-aiollama-releases
7 Jul 2026
Hardware

Enhancing Goodput in Large-Scale LLM Training with Nonuniform Tensor Parallelism

DGX agent

Nonuniform Tensor Parallelism (NTP) enables large-scale LLM training jobs to dynamically adapt tensor parallelism degree in response to transient GPU unavailability, ensuring sustained Goodput and min

hardwarenvidia-developer
6 Jul 2026
Research

Fable 5 is an absolute beast at threejs. It's the best LLM at generating 3D simulations/worlds. Watch how I combine it with gpt-realtime-2 t…

DGX agent

Fable 5 is an absolute beast at threejs. It's the best LLM at generating 3D simulations/worlds. Watch how I combine it with gpt-realtime-2 to generate interactive educational 3D worlds @dair_ai. Comme

researchdair-ai--x
5 Jul 2026
Agents

The Log is the Agent 它的核心观点是:不要把日志当成 agent 的副产品,而要把 append-only event log 当成 agent 本身。 在 ActiveGraph 里,目标、规则、工具调用、LLM 响应、产物和关系都写入同一条事件日志;当前状…

DGX agent

The Log is the Agent 它的核心观点是:不要把日志当成 agent 的副产品,而要把 append-only event log 当成 agent 本身。 在 ActiveGraph 里,目标、规则、工具调用、LLM 响应、产物和关系都写入同一条事件日志;当前状态只是日志 replay 后投影出来的一张图。 这样带来三个关键能力: 可确定性重放 可在任意事件处分叉实验 从最终输出

agentsyohei-nakajima--x
5 Jul 2026
Tools

Here's a cool piece of LLM lore: the original scaling laws were wrong due to a bug, which probably led to a lot of wasted compute on oversiz…

DGX agent

Here's a cool piece of LLM lore: the original scaling laws were wrong due to a bug, which probably led to a lot of wasted compute on oversized undertrained models 🫣 (and that was before we even starte

toolsswyx--x
4 Jul 2026
Research

An Exploratory Study on LLM-Generated Code and Comments in Code Repositories

DGX agent

arXiv:2607.01867v1 Announce Type: cross Abstract: The use of LLMs in software development has become increasingly widespread on tasks such as code generation and summarization. Reports from large tech

researcharxiv-cs-ai
3 Jul 2026
Agents

Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics

DGX agent

arXiv:2607.02329v1 Announce Type: new Abstract: Autonomous-research agents have demonstrated end-to-end LLM automation in machine-learning sandboxes where execution provides calibration. Frontier phys

agentsarxiv-cs-ai
3 Jul 2026
Model Releases

Meta-Benchmarks for Financial-Services LLM Evaluation

DGX agent

arXiv:2607.01740v1 Announce Type: new Abstract: Public LLM leaderboards optimise for global average performance and do not capture the specific cognitive demands of financial-services work: a model th

model-releasesarxiv-cs-ai
3 Jul 2026
Research

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning

DGX agent

arXiv:2604.02091v2 Announce Type: replace-cross Abstract: Rerankers play a pivotal role in refining retrieval results for Retrieval-Augmented Generation. However, current reranking models are typicall

researcharxiv-cs-ai
3 Jul 2026
Safety

Safe and Adaptive Cloud Healing: Verifying LLM-Generated Recovery Plans with a Neural-Symbolic World Model

DGX agent

arXiv:2607.01595v1 Announce Type: new Abstract: As the scale and complexity of cloud-based AI systems continue to escalate, ensuring service reliability through rapid fault detection and adaptive reco

safetyarxiv-cs-ai
3 Jul 2026
Model Releases

Safety Testing LLM Agents at Scale: From Risk Discovery to Evidence-Grounded Verification

DGX agent

arXiv:2607.01793v1 Announce Type: new Abstract: LLM agents increasingly perform autonomous actions through external tools, leading to complex and evolving safety risks. However, existing safety testin

model-releasesarxiv-cs-ai
3 Jul 2026
Model Releases

SPLIT: Cross-Lingual Empathy and Cultural Grounding in English and Ukrainian LLM Responses

DGX agent

arXiv:2607.02049v1 Announce Type: cross Abstract: Large Language Models are increasingly deployed in emotional-support contexts and crisis-related situations. Nevertheless, their cross-lingual abiliti

model-releasesarxiv-cs-ai
3 Jul 2026
Model Releases

Towards Load-Aware Prefill Deflection for Disaggregated LLM Serving

DGX agent

arXiv:2607.02043v1 Announce Type: cross Abstract: Disaggregated LLM serving runs prefill and decode on separate GPU pools to keep the two phases from interfering. In practice, this creates a new asymm

model-releasesarxiv-cs-ai
3 Jul 2026
Safety

What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates

DGX agent

arXiv:2607.02507v1 Announce Type: new Abstract: LLM agents will increasingly act in socially structured settings where role, audience, and relational context can shape what is advantageous or costly t

safetyarxiv-cs-ai
3 Jul 2026
Model Releases

EPC: A Standardized Protocol for Measuring Evaluator Preference Dynamics in LLM Agent Systems

DGX agent

arXiv:2607.00297v1 Announce Type: cross Abstract: When LLM agents use evaluator feedback to adapt their behavior in closed loops, evaluator biases propagate through the agent's strategy distribution -

model-releasesarxiv-cs-cl
2 Jul 2026
Agents

I've been blogging a few of my Fable experiments today, most recently I had it more-or-less one-shot a CLI coding agent on top of my LLM Pyt…

DGX agent

I've been blogging a few of my Fable experiments today, most recently I had it more-or-less one-shot a CLI coding agent on top of my LLM Python library https://simonwillison.net/2026/Jul/2/llm-coding-

agentssimon-willison--x
2 Jul 2026
Research

Measuring the Gap Between Human and LLM Research Ideas

DGX agent

arXiv:2607.01233v1 Announce Type: cross Abstract: LLMs are increasingly used to brainstorm research ideas, but existing evaluations mostly judge individual ideas by novelty, feasibility, or expert pre

researcharxiv-cs-ai
2 Jul 2026
Hardware

MosaicKV: Serving Long-Context LLM with Dynamic Two-D KV Cache Compression

DGX agent

arXiv:2607.00760v1 Announce Type: new Abstract: Long-context LLM services now sustain prompts with hundreds of thousands to millions of tokens, making the key-value (KV) cache a first-order serving co

hardwarearxiv-cs-lg
2 Jul 2026
Model Releases

Persona Without Substrate: Regime-Dependence and the LLM Individuation Problem

DGX agent

arXiv:2607.00006v1 Announce Type: cross Abstract: Beckmann & Butlin's (2026) ontological framework for the LLM individuation problem inherits an unargued cross-regime co-reference assumption from the

model-releasesarxiv-cs-ai
2 Jul 2026
Agents

Self-GC: Self-Governing Context for Long-Horizon LLM Agents

DGX agent

arXiv:2607.00692v1 Announce Type: new Abstract: Long-horizon LLM agents accumulate tool results, files, plans, and user constraints that are too structured to be treated as a disposable text suffix. C

agentsarxiv-cs-ai
2 Jul 2026
Agents

SkillSelect-Serve: Budget-Controllable and QoS-Aware Skill Service Recommendation and Composition for Small LLM Agents

DGX agent

arXiv:2607.00011v1 Announce Type: cross Abstract: Reusable skill libraries are becoming important infrastructure for large language model (LLM) agents, yet existing selection methods often treat skill

agentsarxiv-cs-ai
2 Jul 2026
Model Releases

A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control

DGX agent

arXiv:2606.30877v1 Announce Type: cross Abstract: Recent literature shows that large language models (LLMs) are useful for general-purpose tasks yet perform poorly on specific domain ones. One reason

model-releasesarxiv-cs-lg
1 Jul 2026
Safety

A Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents

DGX agent

arXiv:2606.31635v1 Announce Type: cross Abstract: Fault recovery in process plants still relies heavily on plant operators, especially when faults fall outside predefined supervisory logic. Operators

safetyarxiv-cs-ai
1 Jul 2026
Research

CSO-LLM: Class Subspace Orthogonalization for Post-Training Backdoor Detection and Trigger Inversion in LLMs

DGX agent

arXiv:2606.31309v1 Announce Type: cross Abstract: While post-training backdoor detection and trigger inversion schemes have been developed for AIs used e.g. for images, there is a paucity of such meth

researcharxiv-cs-ai
1 Jul 2026
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