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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
Safety

K2-V2: A 360-Open, Reasoning-Enhanced LLM

DGX agent

arXiv:2512.06201v3 Announce Type: replace Abstract: We introduce K2-V2, a 360-open LLM built from scratch as a superior base for reasoning adaptation, in addition to functions such as conversation and

safetyarxiv-cs-lg
21 Sept 2026
Applications

lots of them! Reality is that LLM APIs are far from being the best way to do AI for 90% of use cases in the real world (they're too overkill…

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
DGX agent

lots of them! Reality is that LLM APIs are far from being the best way to do AI for 90% of use cases in the real world (they're too overkill, slow, expensive, hard to control,...). We will discover th

applicationsclem-delangue--x
21 Sept 2026
Agents

We tested Jev against LLM judges on accuracy, repeatability, latency, and cost to see whether System One models could offer a new approach t…

DGX agent

We tested Jev against LLM judges on accuracy, repeatability, latency, and cost to see whether System One models could offer a new approach to agent evaluation. https://x.com/i/article/2101448785255907

agentsharrison-chase--x
19 Sept 2026
Local Ai

A Simulation Platform for AUV Fault Recovery: Exploring LLM-Based Diagnostic Strategies

DGX agent

arXiv:2609.20620v1 Announce Type: cross Abstract: Autonomous underwater vehicles (AUVs) operating beyond reliable communications must recover from failures without human intervention. We investigate a

local-aiarxiv-cs-ai
18 Sept 2026
Research

Automated Membership Inference Attacks (AutoMIA): Discovering MIA Signal Computations using LLM Agents

DGX agent

arXiv:2603.19375v2 Announce Type: replace-cross Abstract: Membership inference attacks (MIAs), which enable adversaries to determine whether specific data points were part of a model's training datase

researcharxiv-cs-lg
18 Sept 2026
Model Releases

Characterizing Web Search by Conversational LLM Agents: From Search Decisions and Strategies to Results and Responses

DGX agent

arXiv:2609.19244v1 Announce Type: new Abstract: Conversational LLM agents increasingly rely on Web search, yet the end-to-end lifecycle of agentic search remains poorly understood. We present the firs

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

Chronicle: Cut-Point Replay for Regression Testing of LLM Agents

DGX agent

arXiv:2609.20625v1 Announce Type: cross Abstract: Large language model responses are non-deterministic, so failures in LLM agents are hard to reproduce: a failure depends on inference that is not bitw

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

Closed-World Resolution Against Tool Hallucination in LLM Agents

DGX agent

arXiv:2609.19425v1 Announce Type: new Abstract: Tool-augmented large language model (LLM) agents fail in a way no tool-selection or tool-security method addresses: they call tools that do not exist an

model-releasesarxiv-cs-ai
18 Sept 2026
Safety

Dual-Axis Policy Optimization for LLM Agents: Bayesian Feedback Attribution and Trajectory Mass Normalization

DGX agent

arXiv:2609.19830v1 Announce Type: new Abstract: Reinforcement learning for LLM agents involves two distinct optimization di- mensions: how environment feedback is exploited within a trajectory, and ho

safetyarxiv-cs-ai
18 Sept 2026
Research

Evolution or Illusion? Rethinking Evaluation in LLM Evolutionary Search

DGX agent

arXiv:2609.19799v1 Announce Type: cross Abstract: LLM-driven evolutionary search finds programs by launching seeds and iterating each one. Papers report a single budget setting, usually one seed run f

researcharxiv-cs-ai
18 Sept 2026
Agents

MAS-Shield: A Defense Framework for Secure and Efficient LLM MAS

DGX agent

arXiv:2511.22924v3 Announce Type: replace-cross Abstract: Large Language Model (LLM)-based Multi-Agent Systems (MAS) are susceptible to linguistic attacks that can trigger cascading failures across th

agentsarxiv-cs-ai
18 Sept 2026
Safety

QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning

DGX agent

arXiv:2602.04620v3 Announce Type: replace Abstract: GRPO-style reinforcement learning (RL)-based LLM fine-tuning algorithms have recently gained popularity. Relying on heuristic trust-region approxima

safetyarxiv-cs-lg
18 Sept 2026
Model Releases

Anthropic and other researchers detail how thousands of people were catfished by dating scam apps using LLM-generated replies from Claude and other models (Yael Grauer/The Verge)

DGX agent

Yael Grauer / The Verge: Anthropic and other researchers detail how thousands of people were catfished by dating scam apps using LLM-generated replies from Claude and other models — Security researche

model-releasestechmeme
17 Sept 2026
Research

ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference

DGX agent

arXiv:2609.17943v1 Announce Type: cross Abstract: Long-context LLM inference is bottlenecked by attention, whose repeated KV-cache reads make decoding memory-bound. Self-speculative decoding alleviate

researcharxiv-cs-cl
17 Sept 2026
Research

Beyond Truncation: Rethinking LLM Decoding as Ensemble Pruning

DGX agent

arXiv:2609.18723v1 Announce Type: new Abstract: We introduce Mahalanobis-Ensemble Decoding (ME-Decoding), a novel Large Language Model (LLM) decoding framework that frames candidate token selection as

researcharxiv-cs-ai
17 Sept 2026
Agents

CERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents

DGX agent

arXiv:2609.18779v1 Announce Type: new Abstract: Current Mixture-of-Agents (MoA) paradigms generally treat query routing and agent fine-tuning as separate processes, limiting their ability to respond t

agentsarxiv-cs-ai
17 Sept 2026
Model Releases

KaozKit: sandboxed LLM agents in JS, fully on-device on Apple Silicon (MLX / Apple Intelligence / Ollama), MIT

DGX agent

I released KaozKit this week, a Swift library for running LLM agents written in JavaScript inside a Mac app. Built from the start to keep everything local. Providers: MLX with Hugging Face model manag

model-releasesr-ollama
17 Sept 2026
Model Releases

LangSelect: Cost-Aware Target-Language Routing for LLM Code Generation

DGX agent

arXiv:2609.18959v1 Announce Type: new Abstract: LLM code-generation systems usually choose a target programming language before decoding and treat that choice as fixed. We show that, for language-flex

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

Safety-Flag: A Unified Benchmark for the Reliability and Calibration of LLM Content Moderators

DGX agent

arXiv:2609.19072v1 Announce Type: new Abstract: Large language models are increasingly used for content moderation, but most evaluations still report aggregate accuracy on individual benchmarks. We in

model-releasesarxiv-cs-cl
17 Sept 2026
Local Ai

Understanding LLM Failures: A Multi-Tape Turing Machine Analysis of Systematic Errors in Language Model Reasoning

DGX agent

arXiv:2602.15868v3 Announce Type: replace Abstract: Large language models (LLMs) exhibit failure modes on seemingly trivial tasks. We propose a formalisation of LLM interaction using a deterministic m

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

AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research

DGX agent

arXiv:2609.16519v1 Announce Type: new Abstract: Scientific research increasingly relies on large, heterogeneous data sources, motivating interest in retrieval-augmented generation (RAG) systems that p

model-releasesarxiv-cs-ai
16 Sept 2026
Agents

Banger paper from Google Research. This one is on how LLM assistants reason about the people in a user's life. People ask assistants for soc…

DGX agent

Banger paper from Google Research. This one is on how LLM assistants reason about the people in a user's life. People ask assistants for social advice constantly, and the assistant only hears the user

agentsdair-ai--x
16 Sept 2026
Agents

Verifiable Social Reasoning for LLM Assistants

DGX agent

arXiv:2609.17496v1 Announce Type: new Abstract: LLM assistants are widely used for daily social advice, yet evaluating their social reasoning in such consultation settings remains challenging since (i

agentsarxiv-cs-ai
16 Sept 2026
Model Releases

World Model Science: Self-Organized Criticality, Weak Chaos, and Metastable Belief Dynamics in Long-Horizon LLM Agents

DGX agent

arXiv:2609.17419v1 Announce Type: new Abstract: Long-horizon LLM agents must maintain task state across extended sequences of observations, actions, tool calls, and intermediate beliefs. We study thes

model-releasesarxiv-cs-ai
16 Sept 2026
Agents

Carbon-Aware Routing for Function Calling in Edge-Cloud LLM Systems

DGX agent

arXiv:2609.13559v1 Announce Type: new Abstract: Large Language Models (LLMs) with function-calling capabilities are becoming critical for modern agentic AI systems. Nevertheless, current deployments t

agentsarxiv-cs-ai
15 Sept 2026
Local Ai

CIDERS: Cloud-Edge LLM Collaborative Learning via Accelerating Personalized Bilevel Optimization

DGX agent

arXiv:2609.15664v1 Announce Type: cross Abstract: Amid the rapid advancement of physical-world intelligence, cloud-edge collaborative large language models (LLMs) have emerged as a promising roadmap f

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

Inter-Rater Reliability of LLM and Rule-Based Annotation for Inferential Narrative Features: Three Studies on a Turkish Corpus

DGX agent

arXiv:2609.13936v1 Announce Type: new Abstract: Datasets that ship automatically generated feature annotations invite a question rarely asked of them: would a human agree with those labels? This repor

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

MoARa: Module-Aware Rank Allocation and Structure-Preserving Decomposition for Low-Rank LLM Pre-training

DGX agent

arXiv:2609.15037v1 Announce Type: cross Abstract: Low-rank gradient projection reduces the optimizer-state memory cost of large language model (LLM) pretraining, but the steps and wall-clock time need

model-releasesarxiv-cs-cl
15 Sept 2026
Safety

PolicyMem: Geometric Policy Memory for LLM Governance

DGX agent

arXiv:2609.13734v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly deployed in real-world high-stakes applications, effective governance has become essential. Existing

safetyarxiv-cs-ai
15 Sept 2026
Safety

Safety as a Constraint: Fine-Tuning a LLM Recommender to Explain Itself

DGX agent

arXiv:2609.13657v1 Announce Type: new Abstract: Traditional recommender systems are typically trained to predict what item users will interact with next, but not why. However, offering personalized ev

safetyarxiv-cs-ai
15 Sept 2026
Applications

STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting

DGX agent

arXiv:2609.15172v1 Announce Type: new Abstract: Spatio-temporal traffic forecasting is a fundamental big data analytics task for intelligent transportation systems, where massive urban sensor streams

applicationsarxiv-cs-ai
15 Sept 2026
Research

Thinking beyond the anthropomorphic paradigm benefits LLM research

DGX agent

arXiv:2502.09192v3 Announce Type: replace Abstract: Anthropomorphism, or the attribution of human traits to technology, is an automatic and unconscious response that occurs even in those with advanced

researcharxiv-cs-cl
15 Sept 2026
Model Releases

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

DGX agent

arXiv:2507.01663v2 Announce Type: replace Abstract: Reinforcement learning (RL) has become a pivotal technology in the post-training phase of large language models (LLMs). Traditional task-collocated

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

Behavior Quotient Learning for Low-Rank Adaptation of LLM Agents

DGX agent

arXiv:2609.12896v1 Announce Type: new Abstract: LLM-based agents rely on heterogeneous interaction capabilities to accomplish complex tasks. Existing approaches often distribute these capabilities acr

model-releasesarxiv-cs-lg
14 Sept 2026
Tools

Deel handles compliance, payroll, and HR questions across 150+ countries. Instead of searching for the answer through an external LLM each t…

DGX agent

Deel handles compliance, payroll, and HR questions across 150+ countries. Instead of searching for the answer through an external LLM each time, they fine-tuned small models built on Deel's own compli

toolstogether-ai--x
14 Sept 2026
Research

Is Multilingual LLM Watermarking Truly Multilingual? Scaling Robustness to 100+ Languages via Back-Translation

DGX agent

arXiv:2510.18019v3 Announce Type: replace Abstract: Multilingual watermarking aims to make large language model (LLM) outputs traceable across languages, yet current methods still fall short. Despite

researcharxiv-cs-cl
14 Sept 2026
Model Releases

Look Before You Leap: Pre-Action Verification for LLM Agents

DGX agent

arXiv:2609.11957v1 Announce Type: new Abstract: An LLM agent acts on the world by emitting actions: shell commands to run, edits to apply. A wrong action does not always fail loudly; it can fail silen

model-releasesarxiv-cs-lg
14 Sept 2026
Agents

What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework

DGX agent

arXiv:2609.12746v1 Announce Type: cross Abstract: Agentic pipelines for structured-query generation are rapidly expanding, but it is unclear which part of the loop produces the gain. We use LAST-CQ --

agentsarxiv-cs-cl
14 Sept 2026
Research

I must be among an extremely small group of people (n=1?) that have both 1) trained a frontier LLM and 2) designed and synthesized custom vi…

DGX agent

I must be among an extremely small group of people (n=1?) that have both 1) trained a frontier LLM and 2) designed and synthesized custom viruses in a lab with my own two hands. And I think that the t

researchyann-lecun--x
13 Sept 2026
Agents

Agentic Share-of-Search: A Multi-Agent AI System for Competitive Decision-Making in LLM-Mediated E-Commerce

DGX agent

arXiv:2609.11190v1 Announce Type: new Abstract: AI shopping assistants increasingly redirect consumer discovery, creating an urgent need for tools that support seller-side competitive decision-making.

agentsarxiv-cs-ai
12 Sept 2026
Agents

Ecdysis: Efficient and Effective Training of Runtime Harnesses for LLM Agents

DGX agent

arXiv:2609.11677v1 Announce Type: cross Abstract: Self-evolving runtime harnesses can substantially improve the capabilities of large language model (LLM) agents and provide a promising paradigm for o

agentsarxiv-cs-ai
12 Sept 2026
Model Releases

SemVerBench: Benchmarking LLM Comprehension of Version-Constraint Resolution Semantics

DGX agent

arXiv:2609.11180v1 Announce Type: new Abstract: Large language model (LLM) coding agents constantly decide whether a version satisfies a constraint such as ^1.2.3 or >=2.0,1.2 means >=1.3.0) traps eve

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

Evaluating LLM-Simulated Conversations in Modeling Inconsistent and Uncollaborative Behaviors in Human Social Interaction

DGX agent

arXiv:2603.17094v2 Announce Type: replace Abstract: Simulating human conversations using large language models (LLMs) has emerged as a scalable methodology for modeling human social interaction. This

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

MIT launches the LLM Election Observatory, a dashboard tracking how nearly a dozen AI models tailor responses to political queries during the 2026 US midterms (Tiffany Hsu/New York Times)

DGX agent

Tiffany Hsu / New York Times: MIT launches the LLM Election Observatory, a dashboard tracking how nearly a dozen AI models tailor responses to political queries during the 2026 US midterms — Artificia

model-releasestechmeme
11 Sept 2026
Research

Rethinking Verbalized Confidence for LLM-as-a-Judge: A Compatibility Shift on Post-2025 Proprietary Models

DGX agent

arXiv:2609.10996v1 Announce Type: new Abstract: Verbalized confidence, long dismissed as overconfident, coarse, and prone to round-number clustering, is now the more robust soft-scoring mechanism for

researcharxiv-cs-cl
11 Sept 2026
Safety

A Layered Analysis of Disagreement And Answer Quality in Multi-Agent LLM Debate

DGX agent

arXiv:2609.08016v1 Announce Type: new Abstract: Multi-agent debate, in which several LLMs exchange arguments before answering, is widely assumed to improve answer quality by surfacing genuine disagree

safetyarxiv-cs-ai
10 Sept 2026
Safety

CTC-TTS: LLM-based dual-streaming text-to-speech with CTC alignment

DGX agent

arXiv:2602.19574v2 Announce Type: replace-cross Abstract: Large-language-model (LLM)-based text-to-speech (TTS) systems can generate natural speech, but most are not designed for low-latency dual-stre

safetyarxiv-cs-ai
10 Sept 2026
Model Releases

Do Dynamic Routers Need Memory? HeRo: History-Aware Routing for Efficient LLM Inference

DGX agent

arXiv:2609.08189v1 Announce Type: new Abstract: Dynamic layer routing reduces the inference cost of Large Language Models (LLMs) by learning to skip layers for individual tokens. Existing methods, how

model-releasesarxiv-cs-ai
10 Sept 2026
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