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

Knowledge catalogue

Search: “reasoning”

GridTimelineEvolution
19,026 results
Safety

On-Policy Attention Linearization

DGX agent

arXiv:2609.31947v1 Announce Type: new Abstract: Hybrid transformer architectures that replace most softmax attention layers with linear attention offer transformer-level quality at a fraction of the m

safetyarxiv-cs-lg
29 Sept 2026
Research

On Temporal Binding in Large Audio Language Models

DGX agent

arXiv:2609.34806v1 Announce Type: cross Abstract: Reasoning about temporal structure of audio recordings requires Large Audio Language Models (LALMs) to associate sound events with their temporal posi

DGX agent

Content type
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researcharxiv-cs-lg
29 Sept 2026
Model Releases

ReSight-SMC: Two-Stage Power Sampling via Island SMC with Visual Scouts

DGX agent

arXiv:2609.34905v1 Announce Type: new Abstract: Power sampling has emerged as a training-free approach to LLM reasoning, eliciting capabilities comparable to reinforcement learning by sharpening the m

model-releasesarxiv-cs-cv
29 Sept 2026
Safety

SCOPD: Sparse-Context On-Policy Self-Distillation for Efficient Vision-Language Models

DGX agent

arXiv:2609.34044v1 Announce Type: new Abstract: Reasoning vision-language models (VLMs) process images and videos as long sequences of visual tokens, making inference expensive. Training-free token pr

safetyarxiv-cs-cv
29 Sept 2026
Research

Selecting Diverse SFT Traces Improves Post-RL Generalization

DGX agent

arXiv:2609.33780v1 Announce Type: new Abstract: Verified solutions are not equally useful for preparing reasoning models for reinforcement learning (RL). We present a comprehensive study of route dive

researcharxiv-cs-lg
29 Sept 2026
Research

Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework

DGX agent

arXiv:2609.30484v1 Announce Type: new Abstract: While large language models (LLMs) have achieved remarkable linguistic capabilities, a profound question lingers at their core: do these models truly co

researcharxiv-cs-ai
28 Sept 2026
Safety

Evolutionary Safety of Recursive Self-Improving AI: Taxonomy, Risk Discovery, and Evaluation

DGX agent

arXiv:2609.31186v1 Announce Type: new Abstract: Artificial intelligence is advancing rapidly, with increasingly capable systems taking larger roles in reasoning, decision-making, scientific discovery,

safetyarxiv-cs-ai
28 Sept 2026
Model Releases

Governed Deduction: Policy-Grounded Premise Authorization Beyond Relevance

DGX agent

arXiv:2609.31029v1 Announce Type: new Abstract: Reasoning systems usually treat premise use as a question of relevance: if a fact is available and useful, it may be selected for inference. Authorizati

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

Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding

DGX agent

arXiv:2609.31382v1 Announce Type: cross Abstract: Long-context understanding requires large language models (LLMs) to reason over lengthy documents, conversations, and code, yet task-relevant evidence

model-releasesarxiv-cs-ai
28 Sept 2026
Agents

When Is a Multi-Agent Code Judge Actually Grounded? Two Label-Free Measurements, and a Judge That Declines to Guess

DGX agent

arXiv:2609.30328v1 Announce Type: new Abstract: When one language model judges whether another's code is correct, it does not report the absence of evidence. It returns a confident verdict with reason

agentsarxiv-cs-ai
28 Sept 2026
Model Releases

GPT-6-Astra Lights Up Embodied Navigation: Evaluation in Zero-Shot Vision-and-Language Navigation in Continuous Environments

DGX agent

arXiv:2609.29861v1 Announce Type: new Abstract: We investigate whether GPT-6-Astra, a general-purpose foundation model, can navigate unfamiliar environments using its own perception, reasoning, and de

model-releasesarxiv-cs-ro
25 Sept 2026
Safety

HarnessPAI: An Evolving Harness for Physical AI

DGX agent

arXiv:2609.29166v1 Announce Type: cross Abstract: Physical AI aims to build embodied agents that perceive the world, understand and reason about it, and decide how to act. Yet the field has focused pr

safetyarxiv-cs-ai
25 Sept 2026
Safety

DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment

DGX agent

arXiv:2609.27572v1 Announce Type: cross Abstract: Reinforcement learning (RL) has emerged as a key paradigm for improving the reasoning capabilities of large language models (LLMs). However, existing

safetyarxiv-cs-ai
24 Sept 2026
Safety

Do We Need Complex Topology Control? Distinct-Peer Random Routing Improves Cost-Efficiency in Sparse Multi-Agent Debate

DGX agent

arXiv:2609.27150v1 Announce Type: new Abstract: Multi-agent debate (MAD) has emerged as a promising paradigm for improving the reasoning accuracy of large language models (LLMs) through iterative peer

safetyarxiv-cs-ai
24 Sept 2026
Local Ai

Energy-guided Recursive Model

DGX agent

arXiv:2607.10128v3 Announce Type: replace Abstract: Recursive models show promise on reasoning and language tasks, yet their test-time scaling lacks a principled criterion for selecting trajectories o

local-aiarxiv-cs-lg
24 Sept 2026
Research

ReasonLab: A Controlled and Auditable Evaluation of Prompting Techniques for Multiple-Choice QA

DGX agent

arXiv:2607.14109v2 Announce Type: replace Abstract: Probing the capabilities of Large Language Models (LLMs) and building robust solutions for Multiple-Choice Question Answering (MCQA) remain central

researcharxiv-cs-cl
23 Sept 2026
Model Releases

Collapse, Not Complexity: Failure-Conditioned Decomposition Repair for End-to-End Document Parsing

DGX agent

arXiv:2609.23592v1 Announce Type: cross Abstract: End-to-end document parsers increasingly offer an optional reasoning mode for complex pages. On a 180-page entropy-stratified discovery sample with on

model-releasesarxiv-cs-cl
22 Sept 2026
Agents

CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning

DGX agent

arXiv:2609.23257v1 Announce Type: cross Abstract: Time series forecasting underpins critical decision-making across diverse domains. While large language models (LLMs) offer promising reasoning capabi

agentsarxiv-cs-cl
22 Sept 2026
Safety

Information-Time Proximal Policy Optimization

DGX agent

arXiv:2609.24380v1 Announce Type: new Abstract: RLVR has substantially improved the reasoning capabilities of LLMs. However, existing methods typically parameterize temporal progression in the Markov

safetyarxiv-cs-lg
22 Sept 2026
Model Releases

Tool-Augmented On-Policy Distillation for LLM Domain Adaptation in Sequence-Based Omics Tasks

DGX agent

arXiv:2609.23435v1 Announce Type: cross Abstract: Multi-omics sequences contain complex biological patterns, yet deciphering their mechanisms for automated scientific discovery remains challenging. As

model-releasesarxiv-cs-cl
22 Sept 2026
Safety

Beyond Exact Match: Task-Aware GRPO for Cross-Domain PCBA Visual Question Answering

DGX agent

arXiv:2609.21276v1 Announce Type: cross Abstract: In automated Printed Circuit Board Assembly (PCBA) inspection, standards-guided decisions require systems to jointly reason over fine-grained visual c

safetyarxiv-cs-ai
21 Sept 2026
Model Releases

PRIME: Perception Feedback with Situational Memory Embeddings in VLA Models

DGX agent

arXiv:2609.22040v1 Announce Type: new Abstract: Current Vision-Language-Action (VLA) models for autonomous driving operate primarily through feedforward inference across the perception--reasoning--pla

model-releasesarxiv-cs-cv
21 Sept 2026
Safety

Attention Dispersion as a Diagnostic Signal for Hallucination in Large Language Models

DGX agent

arXiv:2609.18320v1 Announce Type: new Abstract: Large Language Models (LLMs) frequently exhibit hallucinations, presenting a major barrier to reliability in complex reasoning tasks. While traditional

safetyarxiv-cs-cl
17 Sept 2026
Model Releases

CapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video

DGX agent

arXiv:2609.17688v1 Announce Type: new Abstract: Wearable assistants require episodic memory over egocentric video, yet current vision-language models face bounded frame budgets, growing visual-token c

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

HALT: Hallucination Assessment via Log-probs as Time series

DGX agent

arXiv:2602.02888v2 Announce Type: replace-cross Abstract: Hallucinations remain a major obstacle for large language models (LLMs), especially in safety-critical domains. We present HALT (Hallucination

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

Label-free steering: Compressing test-time reinforcement learning into bias-only subspaces

DGX agent

arXiv:2609.18587v1 Announce Type: cross Abstract: Test-time reinforcement learning (TTRL) enables models to improve their reasoning without relying on labeled training data, but existing approaches ty

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

MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education

DGX agent

arXiv:2609.19088v1 Announce Type: new Abstract: Large vision-language models have achieved remarkable progress in multi-modal understanding, yet their capabilities in educational settings remain insuf

model-releasesarxiv-cs-ai
17 Sept 2026
Agents

UAVs Meet Embodied Intelligence: Bridging Human Intents and Flying Dynamics Via Harnessing Physical-Digital AI Agents

DGX agent

arXiv:2609.18326v1 Announce Type: new Abstract: Unmanned aerial vehicles (UAVs) extend embodied intelligence into continuous three-dimensional space, where perception, reasoning, physical embodiment,

agentsarxiv-cs-ro
17 Sept 2026
Safety

Visual Compliance via Executable Safety Rule Entailment

DGX agent

arXiv:2609.18328v1 Announce Type: new Abstract: Recent advances in LLMs and VLMs have enabled safety systems to reason beyond simple risk patterns toward more contextual and semantic safety concerns.

safetyarxiv-cs-ai
17 Sept 2026
Model Releases

Available but Unclaimed: An Empirical Study of Human-AI Synergy

DGX agent

arXiv:2609.16793v1 Announce Type: cross Abstract: People increasingly reason with large language models (LLMs), yet complementary capabilities do not guarantee outperforming both components. In a betw

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

Script Fragmentation and Format: What Drives the English-Bengali Performance Gap in Open LLMs?

DGX agent

arXiv:2507.23248v2 Announce Type: replace Abstract: Bengali is spoken by more than 230 million people, yet no standardized instrument evaluates large language models (LLMs) on Bengali across the task

model-releasesarxiv-cs-cl
16 Sept 2026
Research

Beyond Depth and Width: The Information-Slack Dilemma in Streaming Test-Time Compute

DGX agent

arXiv:2609.14995v1 Announce Type: new Abstract: The same task and compute budget can require different reasoning policies when evidence arrives in a different order. Early computation has more time to

researcharxiv-cs-cl
15 Sept 2026
Applications

Beyond OCR Accuracy: Text-Centric VQA Under Image Degradation with Modular and End-to-End

DGX agent

arXiv:2609.13815v1 Announce Type: new Abstract: Text-centric Visual Question Answering (VQA) requires reading and reasoning over text embedded in images, a task made substantially harder when images s

applicationsarxiv-cs-cv
15 Sept 2026
Agents

Bridging Thought and Action: Taming Long-Horizon Instability in Open-Source LLM Agents with a MetaTool-Enhanced ROS Framework

DGX agent

arXiv:2609.13335v1 Announce Type: cross Abstract: Large Language Models (LLMs) have enabled more natural human-robot interaction, but open-source models often exhibit unstable long-horizon reasoning a

agentsarxiv-cs-ai
15 Sept 2026
Model Releases

Compositional SVG Generation via VLM-Driven Hierarchical Semantic Parsing

DGX agent

arXiv:2609.14657v1 Announce Type: cross Abstract: While Vision-Language Models (VLMs) excel at visual reasoning, generating structured, editable Scalable Vector Graphics (SVG) remains a fundamental ch

model-releasesarxiv-cs-ai
15 Sept 2026
Safety

HISPO: Hierarchical Importance-Sampling Policy Optimization with Entropy-Derived Segments

DGX agent

arXiv:2609.15471v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a central approach for improving mathematical reasoning in language models, but long-fo

safetyarxiv-cs-ai
15 Sept 2026
Agents

MedVA: An End-to-End Neuro-Symbolic Agentic System for Medical Volume Visualization

DGX agent

arXiv:2609.14874v1 Announce Type: cross Abstract: Medical volume visualization requires selecting regions of interest (ROIs) and carefully controlling their relative visual emphasis according to a giv

agentsarxiv-cs-cv
15 Sept 2026
Model Releases

SALUTE: Benchmarking and Adapting LLMs for the Defense Domain

DGX agent

arXiv:2609.15022v1 Announce Type: new Abstract: Defense is a knowledge-intensive domain that requires precise understanding of specialized terminology, doctrinal concepts, operational procedures, and

model-releasesarxiv-cs-cl
15 Sept 2026
Research

R2VC: Modular Fact-Checking with Retrieval, Verification, and Confidence Calibration

DGX agent

arXiv:2609.11955v1 Announce Type: new Abstract: Large language models are increasingly used for automated fact checking, but end-to-end prompting often entangles evidence retrieval, reasoning, and unc

researcharxiv-cs-cl
14 Sept 2026
Agents

Caption-once, Frames-on-Demand: Visual-Need Routing for Budget-Aware Agentic Long Video Understanding

DGX agent

arXiv:2609.11899v1 Announce Type: new Abstract: Long-video understanding on edge devices must reason over hours of content under tight compute and bandwidth budgets. Subsampling visual tokens loses te

agentsarxiv-cs-cv
11 Sept 2026
Model Releases

LexAgentHallu: A Hierarchical Benchmark for Profiling Hallucinations in Legal Agents

DGX agent

arXiv:2609.09754v1 Announce Type: new Abstract: As large language models are increasingly deployed as tool-augmented legal agents, they introduce agentic hallucinations where tool-call and reasoning e

model-releasesarxiv-cs-ai
11 Sept 2026
Agents

OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis

DGX agent

arXiv:2603.20278v2 Announce Type: replace-cross Abstract: Training deep research agents requires long-horizon trajectories that interleave search, evidence aggregation, and multi-step reasoning. Howev

agentsarxiv-cs-cl
11 Sept 2026
Model Releases

Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation

DGX agent

arXiv:2601.15645v2 Announce Type: replace Abstract: Large-scale language models (LLMs) often offer clinical judgments based on incomplete information, increasing the risk of misdiagnosis. Existing stu

model-releasesarxiv-cs-cl
11 Sept 2026
Agents

From Version Conflicts to Decision Conflicts: Selective Revalidation for Long-Running AI Agents

DGX agent

arXiv:2609.08015v1 Announce Type: new Abstract: Long-running AI agents may read state, reason, wait for tools or human approval, and perform an external action much later. The state that justified the

agentsarxiv-cs-ai
10 Sept 2026
Safety

SkillAlign: Aligning Skill Interfaces for LLM-based Agents

DGX agent

arXiv:2609.07255v1 Announce Type: new Abstract: Language-model agents increasingly rely on skills: reusable procedural knowledge for reasoning, tool use, and interaction. Existing work studies how ski

safetyarxiv-cs-ai
10 Sept 2026
Model Releases

What Does MMLU Actually Measure? A Psychometric Audit of Difficulty Structure in Aggregate Benchmark Scores

DGX agent

arXiv:2609.09372v1 Announce Type: cross Abstract: Although MMLU is widely adopted as a benchmark for calibrating general AI capabilities, we psychometrically demonstrate that its aggregate score prima

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

3DHarnessBench: Probing Agentic 3D-to-Code Capabilities of Frontier Vision-Language Models

DGX agent

arXiv:2609.06535v1 Announce Type: new Abstract: We introduce 3DHarnessBench, a benchmark that evaluates the agentic ability of frontier vision-language models (VLMs) to recover 3D geometry as Blender

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

BanglaMemeX: Advancing Cultural Metaphoric Image Interpretation in Bangla with a Multimodal Explainable Dataset

DGX agent

arXiv:2609.08029v1 Announce Type: cross Abstract: Vision Language Models have achieved strong performance on multimodal benchmarks, yet their ability to reason about culturally grounded and metaphor-r

model-releasesarxiv-cs-cv
9 Sept 2026
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