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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
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13Categories

Knowledge catalogue

Search: “llm”

GridTimelineEvolution
22,011 results
Model Releases

LLM Inference in a Flash!

DGX agent

arXiv:2609.16161v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown impressive capabilities across a range of natural language processing tasks, and LLM inference has emerged as a

model-releasesarxiv-cs-lg
16 Sept 2026
Agents

Shared Selective Persistent Memory for Agentic LLM Systems

DGX agent

arXiv:2607.09493v2 Announce Type: replace Abstract: Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem: each session starts from zero, discarding the

Human
DGX agent

Content type
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agentsarxiv-cs-ai
16 Sept 2026
Model Releases

Style-Debiased DPO: Updating LLM Knowledge with Factuality-Aware Synthetic Preference Data

DGX agent

arXiv:2609.16532v1 Announce Type: new Abstract: Continued pretraining (CPT) with data augmentation such as paraphrasing can store inside a large language model (LLM) the knowledge of a small source co

model-releasesarxiv-cs-cl
16 Sept 2026
Model Releases

Efficiency Hallucination: Formalizing and Measuring Behavioral Calibration in LLM-Based Code Optimization

DGX agent

arXiv:2609.14839v1 Announce Type: cross Abstract: The integration of Large Language Models (LLMs) into automated code optimization introduces a critical reliability risk we term the Efficiency Halluci

model-releasesarxiv-cs-ai
15 Sept 2026
Agents

Loop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical Coordination

DGX agent

arXiv:2609.14767v1 Announce Type: cross Abstract: Hierarchical orchestration, in which a Manager agent reviews worker output and can send it back for revision, is the default coordination pattern in p

agentsarxiv-cs-ai
15 Sept 2026
Hardware

OpWeave: Flexible Operator Disaggregation for Heterogeneous LLM Serving

DGX agent

arXiv:2609.14237v1 Announce Type: cross Abstract: LLM serving systems increasingly disaggregate inference into finer-grained stages, with recent approaches separating attention from FFN or MoE executi

hardwarearxiv-cs-ai
15 Sept 2026
Model Releases

The Stochastic Deputy: Structural Tenant Isolation for Tool-Using LLM Agents

DGX agent

arXiv:2609.14780v1 Announce Type: cross Abstract: Multi-tenant tools commonly accept a tenant identifier and validate it against the caller's entitlement. For a large language model (LLM) agent, that

model-releasesarxiv-cs-ai
15 Sept 2026
Agents

Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents

DGX agent

arXiv:2609.13422v1 Announce Type: new Abstract: LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We s

agentsarxiv-cs-ai
15 Sept 2026
Model Releases

BodhiPromptShield: Pre-Inference Prompt Mediation for Surface-Form Privacy Propagation in LLM Agent Pipelines

DGX agent

arXiv:2604.05793v2 Announce Type: replace-cross Abstract: In LLM agent pipelines, prompt privacy risk propagates beyond a single model call: raw user content enters retrieval queries, memory writes, t

model-releasesarxiv-cs-cv
14 Sept 2026
Hardware

Dissecting GPU Utilization for LLM Inference on Nvidia Hopper

DGX agent

arXiv:2609.12923v1 Announce Type: cross Abstract: A single SM utilization percentage can make an LLM inference workload look compute-saturated while hiding how much useful work is being done. The prob

hardwarearxiv-cs-lg
14 Sept 2026
Model Releases

Decoupling Readiness from Release for Tail-Aware Scheduling of Agentic LLM Workflows

DGX agent

arXiv:2609.10964v1 Announce Type: new Abstract: Agentic LLM workflows consist of sequences of model turns interleaved with tool interactions, so their end-to-end completion time depends not only on in

model-releasesarxiv-cs-ai
12 Sept 2026
Agents

How AI Coders Discuss, Disagree, and Reach Consensus: Challenges and Opportunities for LLM-Based Qualitative Coding

DGX agent

arXiv:2609.11109v1 Announce Type: cross Abstract: The utility of AI in multi-coder qualitative coding has been widely discussed, yet little empirical evidence exists to delineate the contexts in which

agentsarxiv-cs-ai
12 Sept 2026
Research

Characterizing Narrative Content in Web-scale LLM Pretraining Data

DGX agent

arXiv:2606.19468v2 Announce Type: replace Abstract: The narrative composition of web-scale LLM pretraining corpora remains largely unexplored, even though narrative is a fundamental mode of human comm

researcharxiv-cs-cl
11 Sept 2026
Model Releases

LLM-Anchored Paralinguistic Enrichment for Alzheimer's Disease Detection

DGX agent

arXiv:2609.10896v1 Announce Type: new Abstract: Speech-based automatic detection of Alzheimer's disease (AD) provides a non-invasive and scalable approach to early cognitive screening. AD affects both

model-releasesarxiv-cs-cl
11 Sept 2026
Agents

Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather Alerts

DGX agent

arXiv:2609.10135v1 Announce Type: cross Abstract: To address insufficient contextualization, weak generalization, and poor scenario adaptation in tourism meteorological services, we propose SmartWeath

agentsarxiv-cs-lg
10 Sept 2026
Safety

AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories

DGX agent

arXiv:2609.06783v1 Announce Type: cross Abstract: LLM agents operate in workflows where unsafe actions can have real consequences. Existing safety evaluations often reduce behavior to a single score,

safetyarxiv-cs-ai
10 Sept 2026
Model Releases

Beyond Cross-Lingual Transfer: Benchmarking Propagation Boundaries in Multilingual LLM Unlearning

DGX agent

arXiv:2609.05976v1 Announce Type: cross Abstract: Large Language Model (LLM) unlearning aims to suppress target knowledge while preserving general capabilities. In multilingual settings, unlearning mu

model-releasesarxiv-cs-ai
10 Sept 2026
Research

Beyond Single-Negative Preference: Multi-Negative DPO for LLM-Centric Historical Entity Linking

DGX agent

arXiv:2609.07379v1 Announce Type: cross Abstract: Large language models (LLMs) have recently shown promise for historical entity linking, but preference optimization for this task is often formulated

researcharxiv-cs-ai
10 Sept 2026
Model Releases

Beyond Top-k Skill Retrieval: Diversity-Aware Skill Routing for LLM Agents

DGX agent

arXiv:2609.05824v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly rely on external skills, but routing user requests over large skill registries is difficult because many

model-releasesarxiv-cs-ai
10 Sept 2026
Model Releases

Characterizing Contention-Induced Reliability Collapse in KV-Cache Timing Side Channels for Multi-Tenant LLM Serving

DGX agent

arXiv:2609.06853v1 Announce Type: cross Abstract: Shared key--value (KV) cache reuse improves large language model (LLM) serving, but it can also create a timing side channel that reveals whether a pr

model-releasesarxiv-cs-ai
10 Sept 2026
Local Ai

Detokenization Leaks: Reconstructing Local LLM Outputs From Cache Traces

DGX agent

arXiv:2609.06674v1 Announce Type: cross Abstract: We present a new attack that reconstructs the text generated by locally hosted LLMs by observing CPU cache activity during detokenization. Unlike prio

local-aiarxiv-cs-ai
10 Sept 2026
Research

Forward-Free LLM Depth Pruning via Weight Redundancy

DGX agent

arXiv:2609.09883v1 Announce Type: new Abstract: Depth pruning reduces large language model (LLM) inference cost by removing complete Transformer blocks. Activation-based methods collect hidden states

researcharxiv-cs-lg
10 Sept 2026
Model Releases

From Review to Authorization: Key-Isolated Threshold Signing for LLM Agents

DGX agent

arXiv:2609.05901v1 Announce Type: cross Abstract: Autonomous LLM agents can turn untrusted content into effectful actions such as payments and permission changes. If the same process interprets this c

model-releasesarxiv-cs-ai
10 Sept 2026
Model Releases

HyperTrace: Hypothesis-Based Preference Tracing for Online LLM Personalization

DGX agent

arXiv:2609.09835v1 Announce Type: new Abstract: Personalized language models aim to adapt responses to individual users, whose preferences are often latent and revealed gradually through interaction.

model-releasesarxiv-cs-cl
10 Sept 2026
Agents

Inference-Time Graph Engineering for Multi-Agent LLM Workflows

DGX agent

arXiv:2609.05774v1 Announce Type: new Abstract: Recent multi-agent LLM systems increasingly rely on graph-structured communication to coordinate specialized agents. We revisit multi-agent orchestratio

agentsarxiv-cs-ai
10 Sept 2026
Research

It's All in the Way You Say It: The Role of Information Representation in LLM-Based Glycemic-Event Prediction

DGX agent

arXiv:2609.08772v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly being investigated for physiological time-series prediction, yet their effectiveness may depend not only o

researcharxiv-cs-ai
10 Sept 2026
Research

LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation

DGX agent

arXiv:2609.08288v1 Announce Type: new Abstract: Travel survey data are essential for transportation planning and travel behavior analysis, yet collecting large-scale representative samples is costly a

researcharxiv-cs-ai
10 Sept 2026
Safety

LLM-Generated or Human-Written? Comparing Review and Non-Review Papers on ArXiv

DGX agent

arXiv:2601.17036v2 Announce Type: replace-cross Abstract: ArXiv recently prohibited the upload of unpublished review papers to its servers in the Computer Science domain, citing a high prevalence of L

safetyarxiv-cs-cl
10 Sept 2026
Local Ai

Localizing and Correcting Errors for LLM-based Planners

DGX agent

arXiv:2602.00276v3 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated strong reasoning capabilities on math and coding, but frequently fail on symbolic classical planning

local-aiarxiv-cs-ai
10 Sept 2026
Model Releases

Measuring LLM Sycophancy under Sustained Multi-Turn Pressure

DGX agent

arXiv:2609.09090v1 Announce Type: cross Abstract: Large language models (LLMs) may abandon correct positions when users push back, exhibiting a failure mode known as sycophancy. Existing evaluations t

model-releasesarxiv-cs-ai
10 Sept 2026
Model Releases

Neutralizing Popularity Bias in LLM-based Recommendation via Counterfactual Reasoning Guidelines

DGX agent

arXiv:2503.08051v2 Announce Type: replace Abstract: In the era of generative AI, recommender systems are moving from precise prediction to trustworthy generation. Large language models (LLMs) support

model-releasesarxiv-cs-ai
10 Sept 2026
Agents

Personalizing LLM Agent Memory Using Biometrics

DGX agent

arXiv:2609.08558v1 Announce Type: new Abstract: Personalized memory helps LLM agents deliver stable, tailored assistance by storing and reusing user-specific data across interactions. In multi-user sc

agentsarxiv-cs-ai
10 Sept 2026
Model Releases

Quality Metrics for LLM-Generated Asset Administration Shells: A Perturbation-Based Evaluation Approach

DGX agent

arXiv:2609.07290v1 Announce Type: cross Abstract: The rapid digital transformation of manufacturing, often referred to as Industry 4.0, relies on seamless interoperability between physical and softwar

model-releasesarxiv-cs-ai
10 Sept 2026
Safety

Adapting Technical-Service LLM Agents with Latent Logic Augmentation, Robust Noise Reduction, and Hybrid Reward Modeling

DGX agent

arXiv:2603.18074v2 Announce Type: replace Abstract: Technical-service LLM agents are entering production workflows, where value depends on whether engineers adopt generated replies. Service tickets hi

safetyarxiv-cs-lg
9 Sept 2026
Model Releases

AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories

DGX agent

arXiv:2609.06972v1 Announce Type: cross Abstract: LLM agents complete tasks by issuing sequences of tool calls, and every observation they read is a channel through which an indirect prompt injection

model-releasesarxiv-cs-lg
9 Sept 2026
Model Releases

CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation

DGX agent

arXiv:2603.00039v2 Announce Type: replace Abstract: LLM-as-a-judge ensembles are the standard paradigm for scalable evaluation, but their aggregation mechanisms suffer from a fundamental flaw: they im

model-releasesarxiv-cs-lg
9 Sept 2026
Model Releases

Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees

DGX agent

arXiv:2606.19376v2 Announce Type: replace Abstract: Inference costs for large language model (LLM) applications are rapidly growing, driven by surging demand and rising infrastructure cost. Users expe

model-releasesarxiv-cs-lg
9 Sept 2026
Model Releases

ERPBench: Evaluating LLM Agents for Enterprise Decision-Making Across Competitive Market Ecologies

DGX agent

arXiv:2609.04667v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly proposed for enterprise workflows, yet existing evaluations rarely test whether business-decision con

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

LLM-Guided Program Evolution for Circle Packing: Breaking 10 Packomania Records for $28

DGX agent

arXiv:2609.05093v1 Announce Type: new Abstract: We present Discovery Loop, a lightweight system that uses a large language model (LLM) to iteratively evolve optimization algorithms. Starting from a si

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

TIER: Threat Implicitness Benchmark for Evaluating LLM Safety Behaviors

DGX agent

arXiv:2609.05117v1 Announce Type: cross Abstract: Current LLM safety benchmarks largely rely on binary metrics, overlooking how models respond to harmful prompts with varying threat implicitness. We i

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

BASP: Communication-Efficient Batch-Aware Sequence Parallelism for LLM Training

DGX agent

arXiv:2609.03151v1 Announce Type: cross Abstract: Long-context reasoning for large language models (LLMs) is becoming increasingly important, but training over long sequences remains challenging due t

model-releasesarxiv-cs-lg
4 Sept 2026
Safety

Fresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent Memory

DGX agent

arXiv:2609.03340v1 Announce Type: new Abstract: Distributed LLM-agent teams can read the latest shared facts and still act on an obsolete plan. A planner may derive an action from requirement r_3, ano

safetyarxiv-cs-ai
4 Sept 2026
Model Releases

From Zero to Hero: An Open LLM Ecosystem for Armenian

DGX agent

arXiv:2609.03350v1 Announce Type: cross Abstract: Pretraining data for Armenian, a morphologically rich and low-resource language, is scarce, and no open Armenian LLM has been released with the data a

model-releasesarxiv-cs-cl
4 Sept 2026
Model Releases

LLM-Guided Reinforcement Learning for Adaptive NPC Behavior in Multi-Agent Combat Games

DGX agent

arXiv:2609.02931v1 Announce Type: cross Abstract: Scripted and rule-based non-player characters (NPCs) in combat video games often exhibit predictable behaviors that experienced players can exploit, w

model-releasesarxiv-cs-lg
4 Sept 2026
Safety

No country for old linguists: LLM-brain alignment underdetermines neural computation

DGX agent

arXiv:2609.03160v1 Announce Type: new Abstract: Nastase et al. (2026) argue that large language models (LLMs) may illuminate language processing because both rely on distributed, context-sensitive rep

safetyarxiv-cs-cl
4 Sept 2026
Local Ai

Privacy-Preserving Topology-Guided Safety for LLM-Based Multi-Agent Systems via Federated Graph Learning

DGX agent

arXiv:2609.02967v1 Announce Type: cross Abstract: Topology-guided safeguards for LLM-based multi-agent systems (MAS) train a GNN over the inter-agent communication graph to localize risky agents and i

local-aiarxiv-cs-ai
4 Sept 2026
Safety

Brilliant paper on long-horizon agents. They cut 78.9% of an agent's LLM calls while raising its success rate. Here is how: It turns out tha…

DGX agent

Brilliant paper on long-horizon agents. They cut 78.9% of an agent's LLM calls while raising its success rate. Here is how: It turns out that ReAct issues one primitive action per model round. That al

safetydair-ai--x
3 Sept 2026
Model Releases

MultiGhostBench: A Multilingual Benchmark for Long-Form LLM-Generated Text Attribution under Distribution Shifts

DGX agent

arXiv:2609.02379v1 Announce Type: cross Abstract: While existing work on LLM authorship attribution (AA) has made progress, available benchmarks remain limited, often focusing on English, controlled s

model-releasesarxiv-cs-ai
3 Sept 2026
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