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HumanDGX agent

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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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HumanDGX agent

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

Knowledge catalogue

Search: “llm”

GridTimelineEvolution
22,024 results
Agents

SecureVibe: Making Vibe Coding More Secure

DGX agent

arXiv:2609.38606v1 Announce Type: cross Abstract: As vibe coding becomes increasingly capable and widespread, security vulnerabilities in even functionally correct solutions are a growing concern. Whe

agentsarxiv-cs-cl
1 Oct 2026
Model Releases

Structure of Basic Human Values in Russian Social Media

DGX agent

arXiv:2603.18822v2 Announce Type: replace Abstract: What is known about the values of national populations rests almost entirely on questionnaires, which prompt respondents to rate researcher-supplied

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model-releasesarxiv-cs-cl
1 Oct 2026
Model Releases

Trustworthy Runtime Error Healing in Real-World Repositories: A Benchmark and Guardrail

DGX agent

arXiv:2609.39086v1 Announce Type: cross Abstract: Runtime error healing lets a crashed program continue by generating code that repairs its live runtime state. Recent work shows that LLMs can generate

model-releasesarxiv-cs-ai
1 Oct 2026
Agents

Turbo Harness: Instance-Adaptive Harness Optimization

DGX agent

arXiv:2609.40330v1 Announce Type: new Abstract: Automating the search for effective harnesses is an important step toward enabling agents to recursively self-improve. Existing harness optimizations ty

agentsarxiv-cs-ai
1 Oct 2026
Safety

When Order Matters: First-Speaker Bias and Mitigation through Personality in Sequential Multi-Agent Debate

DGX agent

arXiv:2609.38964v1 Announce Type: new Abstract: Multi-agent debate (MAD) is often used to improve large language model (LLM) reasoning, but sequential debate is rarely a neutral aggregator of agents'

safetyarxiv-cs-ai
1 Oct 2026
Model Releases

Zero2Repo: Can Coding Agents Build Repositories from Scratch?

DGX agent

arXiv:2609.38269v1 Announce Type: cross Abstract: Coding agents are increasingly asked to build software rather than patch it, yet benchmarks for from-scratch repository construction are mostly limite

model-releasesarxiv-cs-ai
1 Oct 2026
Model Releases

A foundation model for energy and radiation systems built on heterogeneous scientific interfaces

DGX agent

arXiv:2609.38067v1 Announce Type: new Abstract: Scientific foundation models are commonly evaluated after heterogeneous physical problems have already been translated into a compatible gridded, tokeni

model-releasesarxiv-cs-lg
30 Sept 2026
Safety

A Proposed Rubric for Evaluating Expressed Clinical Reasoning in Large Language Model Responses

DGX agent

arXiv:2609.37788v1 Announce Type: cross Abstract: Rubrics support the structured evaluation of language models. We propose a rubric for assessing expressed clinical reasoning in model responses, drawi

safetyarxiv-cs-ai
30 Sept 2026
Local Ai

ATTUNER: Recomputation-Free KV Cache Reuse via Query-Side Adaptation

DGX agent

arXiv:2609.36722v1 Announce Type: new Abstract: Large language model (LLM) agents repeatedly load reusable content, such as skills, documents, and memory entries, into the current context. Re-encoding

local-aiarxiv-cs-cl
30 Sept 2026
Model Releases

Beyond Rule-Based Mutation Testing: Test-Aware Mutant Generation Using Large Language Models

DGX agent

arXiv:2609.35841v1 Announce Type: cross Abstract: Mutation testing evaluates test-suite adequacy by injecting synthetic faults into program code. However, traditional rule-based tools often generate l

model-releasesarxiv-cs-ai
30 Sept 2026
Safety

Binarization Flattens the Score Space

DGX agent

arXiv:2609.35797v1 Announce Type: cross Abstract: Large language model (LLM) judges are often used as rewards to train policies on objectives that deterministic verifiers cannot capture. However, thes

safetyarxiv-cs-ai
30 Sept 2026
Model Releases

Cheap to Hypothesize, Costly to Verify: The Defense Surface of Agentic Vulnerability Discovery

DGX agent

arXiv:2609.35909v1 Announce Type: cross Abstract: Autonomous LLM agents turn vulnerability discovery into a repository-scale search: they generate many vulnerability hypotheses but can verify only a s

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

ContextRender: From Execution Dependencies to Agent Context

DGX agent

arXiv:2609.37743v1 Announce Type: new Abstract: LLM agents performing long-horizon tasks accumulate tool results that later steps may need. Passing the full history to every invocation is costly even

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

CounterSteer: Suppressing Indirect Prompt Injection with Activation Steering

DGX agent

arXiv:2609.36570v1 Announce Type: cross Abstract: Indirect prompt injection makes an LLM agent treat untrusted retrieved text as instructions. We present CounterSteer, an inference-time defense that s

model-releasesarxiv-cs-ai
30 Sept 2026
Research

Effective Dense Retrieval using Only In-Context Examples

DGX agent

arXiv:2609.38099v1 Announce Type: cross Abstract: Turning decoder-only large language models (LLMs) into strong dense retrievers typically requires some form of retriever training. In this paper, we a

researcharxiv-cs-cl
30 Sept 2026
Agents

From Lexical Baselines to Agentic Retrieval-Augmented Generation: Structured Skill and Responsibility-Level Extraction with the SFIA Framework

DGX agent

arXiv:2609.35806v1 Announce Type: cross Abstract: Automated skill extraction underpins workforce planning, yet most systems represent skills as flat labels with no notion of the responsibility level a

agentsarxiv-cs-ai
30 Sept 2026
Research

JEV-as-a-Judge: Accept When Confident, Escalate When Unsure

DGX agent

arXiv:2609.26550v3 Announce Type: replace Abstract: LLM-as-a-judge scales evaluation, but reasoning judges are slow and costly. We study JEV-as-a-Judge: evaluation with JEV, a decision-only judge that

researcharxiv-cs-ai
30 Sept 2026
Agents

LatCom: Cross-Agent Latent Compression for Efficient Multi-Agent Collaboration

DGX agent

arXiv:2609.37017v1 Announce Type: new Abstract: LLM-based multi-agent systems (MAS) increasingly use latent collaboration to avoid the information loss and repeated encoding-decoding overhead of natur

agentsarxiv-cs-cl
30 Sept 2026
Model Releases

Lookahead-R: Budget-Aware Tool Retrieval via Execution-Centric Planning

DGX agent

arXiv:2609.35811v1 Announce Type: cross Abstract: Tool retrieval is a critical bottleneck for LLM-based agents operating over large, heterogeneous API ecosystems. Existing approaches face an inherent

model-releasesarxiv-cs-ai
30 Sept 2026
Research

Memory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents

DGX agent

arXiv:2609.36130v1 Announce Type: new Abstract: Long-running LLM agents compress past interactions into persistent memories that may be reused as premises for later tasks. This creates a distinct deri

researcharxiv-cs-ai
30 Sept 2026
Model Releases

RepoMAS: Solving Progressively Specified Tasks with Issue-Driven Multi-Agent Systems

DGX agent

arXiv:2609.32490v2 Announce Type: replace Abstract: LLM-based multi-agent systems (MASs) have shown strong potential for solving complex tasks, but most assume that task requirements are sufficiently

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

Retrieve, Reproduce, Reveal: Dissecting Retrieval-Augmented Software Vulnerability Detection

DGX agent

arXiv:2609.37669v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) is increasingly used to enhance Large Language Model (LLM)-based software vulnerability detection by grounding pr

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

SAGE: A Statistical Acceptance Gate for Self-Evolving Agents

DGX agent

arXiv:2609.36043v1 Announce Type: new Abstract: Large Language Model (LLM)-based agents increasingly self-evolve by editing a persistent skill document that encodes their workflow, tool-use rules, and

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

Same Bytes, Different Authority: Reserved-Token Representations in Chat-Template Prompt Injection

DGX agent

arXiv:2609.35932v1 Announce Type: cross Abstract: Prompt injection against LLM agents becomes much stronger when the injected instruction is wrapped in the model's own chat template. A forged template

model-releasesarxiv-cs-ai
30 Sept 2026
Research

SEED: Self-Speculative Decoding via Implicit Encoder-Decoder

DGX agent

arXiv:2609.36590v1 Announce Type: new Abstract: Self-speculative decoding accelerates large language model (LLM) inference by drafting tokens from the target model itself, but faces a sharp tradeoff b

researcharxiv-cs-cl
30 Sept 2026
Model Releases

SelfSearch: Reward-Free Search for Self-Improving Agents

DGX agent

arXiv:2609.37968v1 Announce Type: new Abstract: Advances in the coding capabilities of LLM agents allow them to inspect and modify their own instructions, tools, and execution procedures. Existing app

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

'Shall We Play a Game?' - H3 - Wargames(83) ending [Spoiler] recreated using 4 stills and a sample of Joshua's voice. (Claude Fable on 3rd try vs. Astra)

DGX agent

Generated with H3: Mock H3 version of the ending to Wargames(83) as a test of a custom node I've been working on w/ both Claude(Opus/Fable) and OAI's Sol/Astra. One click generation using only 4 movie

model-releasesr-stablediffusion
30 Sept 2026
Agents

SkillGym: Training Skill-Use Agents with Automatic Verifiable Environment Generation

DGX agent

arXiv:2609.37539v1 Announce Type: new Abstract: Skills equip LLM agents with professional knowledge and guidance to complete long-horizon and complex tasks. Although skills have been widely adopted in

agentsarxiv-cs-ai
30 Sept 2026
Research

TReVS: Integrating Textual Relevance and Visual Saliency for Efficient Vision-Language Model Token Pruning

DGX agent

arXiv:2609.37581v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) excel at visual understanding and reasoning but often incur substantial inference costs due to the large number of visua

researcharxiv-cs-ai
30 Sept 2026
Model Releases

UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG

DGX agent

arXiv:2603.28773v2 Announce Type: replace-cross Abstract: Large language models (LLMs) frequently generate confident yet factually incorrect content when used for language generation (a phenomenon oft

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

UnlearningSoup: Is Repeated Tuning Necessary for Large Language Model Unlearning?

DGX agent

arXiv:2609.37076v1 Announce Type: new Abstract: Large language models trained on vast corpora inherently risk memorizing harmful content that may later re-emerge in their outputs. To mitigate this iss

model-releasesarxiv-cs-lg
30 Sept 2026
Agents

UpliftMem: Learning Set-Level Uplift for Agent Memory Retrieval

DGX agent

arXiv:2609.36805v1 Announce Type: new Abstract: Large language model (LLM) agents reuse external memory to guide new tasks, but effective retrieval requires learning which memory sets improve executio

agentsarxiv-cs-ai
30 Sept 2026
Model Releases

Vulnerability Discovery and Exploitation Trends in the AI Era

DGX agent

Written by: Robin Grunewald, Supriya Mazumdar, Kelli Vanderlee Introduction Google Threat Intelligence Group (GTIG) examines vulnerability disclosure and exploitation statistics to evaluate the impact

model-releasesgoogle-cloud-ai
30 Sept 2026
Model Releases

Where Root Cause Analysis Fails: A Retrieval-Reranking Decomposition

DGX agent

arXiv:2609.36686v1 Announce Type: new Abstract: Identifying the root cause of an anomaly among hundreds of sensors is critical for preventing safety incidents and costly downtime in complex monitored

model-releasesarxiv-cs-lg
30 Sept 2026
Safety

BiasReducer: Adaptive Bias Mitigation for Reward Models

DGX agent

arXiv:2609.32720v1 Announce Type: new Abstract: Reward models score responses from large language models (LLMs) and guide LLM training toward human preferences. However, reward models can favor superf

safetyarxiv-cs-lg
29 Sept 2026
Safety

Certified Multi-Source Integrity for Structured Agent Actions

DGX agent

arXiv:2609.34245v1 Announce Type: cross Abstract: LLM agents increasingly take privileged, often irreversible structured actions, such as paying an invoice. They assemble each action from action-criti

safetyarxiv-cs-lg
29 Sept 2026
Safety

Clarify the User or Verify the World? Uncertainty Routing for Proactive Agents

DGX agent

arXiv:2609.32255v1 Announce Type: cross Abstract: Tool-using LLM agents must decide not only whether additional information is needed, but also which source can resolve the uncertainty. Existing proac

safetyarxiv-cs-lg
29 Sept 2026
Model Releases

Collaborative Principle Evolution via Evidence Transfer for Scientific Discovery

DGX agent

arXiv:2609.35315v1 Announce Type: new Abstract: Large Language Model (LLM)-based agents promise to automate scientific discovery, yet exploring the vast hypothesis space remains costly. Existing princ

model-releasesarxiv-cs-lg
29 Sept 2026
Research

Contrast Matters: Understanding Robustness of In-Context Fine-Tuning to Target-Context Relatedness

DGX agent

arXiv:2604.01601v2 Announce Type: replace Abstract: In-context fine-tuning (IC-Train), training an LLM with labeled examples in-context, is increasingly used in place of standard fine-tuning for domai

researcharxiv-cs-lg
29 Sept 2026
Agents

Decision-Sufficient State Representations: Measuring and Reducing Write-Time Regret

DGX agent

arXiv:2609.32805v1 Announce Type: cross Abstract: Long tasks produce more history than an LLM agent can hold in its context, and more than it uses reliably even when the history fits. A growing line o

agentsarxiv-cs-lg
29 Sept 2026
Model Releases

Distance-KV: Exploiting Relative Distance for Efficient Long-Context Inference

DGX agent

arXiv:2609.32663v1 Announce Type: new Abstract: The memory usage and decoding latency of LLM inference grow rapidly with context length. To reduce these costs, key-value (KV) cache compression methods

model-releasesarxiv-cs-lg
29 Sept 2026
Local Ai

Do World Models Learn Global Understanding?

DGX agent

arXiv:2609.34058v1 Announce Type: new Abstract: AI systems often feel brittle and fragmented. A large language model (LLM) may correctly explain a concept but fail to apply it, or follow safety instru

local-aiarxiv-cs-lg
29 Sept 2026
Safety

EfficientAgent: What Makes KV Cache Offloading Work for Concurrent Agents?

DGX agent

arXiv:2609.33762v1 Announce Type: cross Abstract: LLM agents resend their whole conversation on every turn, and most of it was already processed on the previous turn. Serving systems avoid recomputing

safetyarxiv-cs-lg
29 Sept 2026
Hardware

From Experience to Expertise: Adoption-Aware Memory Learning for Data-Scarce NPU Kernel Synthesis

DGX agent

arXiv:2609.35568v1 Announce Type: new Abstract: High-performance kernels underpin efficient accelerator execution but require expert tuning and lengthy manual optimization cycles. LLM coding agents pr

hardwarearxiv-cs-lg
29 Sept 2026
Agents

GenMem: Generative Symbolic Memory for Self-Evolving Harness

DGX agent

arXiv:2609.34633v1 Announce Type: new Abstract: Long-term memory supports the self-evolution of LLM agents by retaining experience and skills across tasks and enabling their retrieval, reuse, and revi

agentsarxiv-cs-lg
29 Sept 2026
Model Releases

Large Language Models for Automated Cross-Domain Machine Learning Task Type Identification: A Benchmark Dataset and Evaluation

DGX agent

arXiv:2609.35335v1 Announce Type: new Abstract: Machine learning task type identification is essential for constructing valid ML pipelines, yet in practice it is typically specified manually. We inves

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

QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents

DGX agent

arXiv:2609.33848v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly undertake extreme-long (xlong) horizon tasks, where a single execution can span hours, hundreds of model-

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

Reflection 70B was released two years ago (September 2024)

DGX agent

You may think that jev, OpenClaw or TurboQuant are super cool, but actually the coolest LLM invention happened two years ago As we all know, the best source of reliable information about LLMs is YouTu

model-releasesr-localllama
29 Sept 2026
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