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  • 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

Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Games

DGX agent

arXiv:2505.24255v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown potential in simulating human behaviors and performing theory-of-mind (ToM) reasoning, crucial for com

model-releasesarxiv-cs-ai
25 Aug 2026
Human
DGX agent

Content type
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Model Releases

Evaluating the Efficacy of LLMs to Emulate Realistic Human Personalities

DGX agent

arXiv:2402.14879v2 Announce Type: replace-cross Abstract: To enhance immersion and engagement in video games, the design of Affective Non-Player Characters (ANPCs) is a key focus for researchers and p

model-releasesarxiv-cs-ai
25 Aug 2026
Local Ai

Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction

DGX agent

arXiv:2608.22176v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly applied to clinical prediction tasks such as in-hospital mortality and readmission from electronic health

local-aiarxiv-cs-ai
25 Aug 2026
Model Releases

Unveiling the Depth-Performance Dilemma in Split-Federated Fine-tuning of LLMs

DGX agent

arXiv:2608.22188v1 Announce Type: cross Abstract: Split Federated Fine-tuning (SFF) is a promising paradigm for scaling Large Language Models (LLMs) by partitioning model depth between resource-constr

model-releasesarxiv-cs-cl
25 Aug 2026
Research

What AstroPT knows about galaxies, and what that can teach us about LLMs

DGX agent

arXiv:2608.22614v1 Announce Type: new Abstract: Interpretability research increasingly asks when concepts emerge during training and whether linear probes recover real structure, but in language model

researcharxiv-cs-lg
25 Aug 2026
Safety

Your AI, On a Dial: Controlling Investment Bias in LLMs with a Single Neuron

DGX agent

arXiv:2608.22852v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in investment decision-making, yet prior work shows that they exhibit systematic, model-specific inve

safetyarxiv-cs-ai
25 Aug 2026
Safety

Move by Move: Measuring and Steering How LLMs Conduct Psychotherapy

DGX agent

arXiv:2608.21325v1 Announce Type: new Abstract: Users increasingly turn to large language models for emotional support, yet little is known about how these models actually conduct a psychotherapy inte

safetyarxiv-cs-cl
24 Aug 2026
Model Releases

Quantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLMs

DGX agent

arXiv:2608.20953v1 Announce Type: cross Abstract: Serving large language models cheaply increasingly means shipping models that are both structurally compressed to a fraction of their parameters and q

model-releasesarxiv-cs-ai
24 Aug 2026
Applications

I don’t like ELI5 as default for “make this easy to understand,” a great thing about LLMs is the ability to work as universal translators ac…

DGX agent

I don’t like ELI5 as default for “make this easy to understand,” a great thing about LLMs is the ability to work as universal translators across topics Asking for generic dumbed-down explanations is w

applicationsethan-mollick--x
22 Aug 2026
Research

チームのLLM開発が本格化してきたので仲間を募集します! 人数を必要以上に増やさず、一人ひとりが大きな役割を担うチームを作っています。高い基礎力と知的好奇心、そして違った強みを持つメンバーが集まって、全体の目的に向かって高い主体性を持って動いています。そんなチームの一員になれます…

DGX agent

チームのLLM開発が本格化してきたので仲間を募集します! 人数を必要以上に増やさず、一人ひとりが大きな役割を担うチームを作っています。高い基礎力と知的好奇心、そして違った強みを持つメンバーが集まって、全体の目的に向かって高い主体性を持って動いています。そんなチームの一員になれます。 僕自身もこのチームでメンバーと仕事することが何より楽しいです。 LLM経験者はもちろん歓迎。未経験でも、しばらくLL

researchdavid-ha--x
22 Aug 2026
Model Releases

Single RTX 5090: Qwen3.8-27B NVFP4 at a real 262K context in vLLM — 77 tok/s short-context, 64.7 tok/s at 128K

DGX agent

This is the Qwen3.8-27B setup I actually use every day on one RTX 5090. I wanted to write it down with enough detail that another 5090 owner can reproduce it instead of guessing which memory knobs I u

model-releasesr-localllama
22 Aug 2026
Safety

From Storage to Access: Verifiable Activation of Parametric Knowledge in LLMs via Explicit Priming and Implicit Reasoning

DGX agent

arXiv:2608.18581v1 Announce Type: cross Abstract: Although Large Language Models (LLMs) encode rich factual knowledge in their parameters, reliably recalling and verifying such knowledge remains a key

safetyarxiv-cs-ai
20 Aug 2026
Safety

okay so everyone is talking about this but you guys realize it's not an LLM/foundation model or even a neural network, right???? it's probab…

DGX agent

okay so everyone is talking about this but you guys realize it's not an LLM/foundation model or even a neural network, right???? it's probably just like some XGBoost or logistic regression algorithm o

safetygary-marcus--x
20 Aug 2026
Hardware

Beyond FLOPs: Energy-Aware Knowledge Distillation for Sustainable LLMs on Code-Related Task

DGX agent

arXiv:2608.17515v1 Announce Type: cross Abstract: Background: Large Language Models (LLMs) are increasingly being applied to Software Engineering (SE) tasks, achieving high accuracy across problems su

hardwarearxiv-cs-ai
19 Aug 2026
Research

Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts

DGX agent

Large language models (LLMs) exhibit a wide range of human-like behaviors, from expressing thoughts and emotions, to engaging in relationship-building with users, to refusing requests and maintaining

researchapple-ml-research
19 Aug 2026
Model Releases

CEDAR-GRPO: Process-Aware Reinforcement Learning for General Abductive Reasoning in LLMs

DGX agent

arXiv:2608.14791v1 Announce Type: new Abstract: Abductive reasoning, often characterized as inference to the best explanation, is central to explanation under uncertainty, from everyday sense-making a

model-releasesarxiv-cs-ai
18 Aug 2026
Safety

Computational KJ-Ho: An Analyst-Bias-Free Insight Extraction Framework from Large-Scale Qualitative Data Using Domain-Specialized LLMs

DGX agent

arXiv:2608.16467v1 Announce Type: cross Abstract: The qualitative research methodologies that underpin consumer-insight generation - the KJ method, Grounded Theory, and Thematic Analysis - share a str

safetyarxiv-cs-cl
18 Aug 2026
Applications

Do Assessment Instruments Measure the Same Thing for Humans and LLMs? A Latent Structure Analysis

DGX agent

arXiv:2608.15630v1 Announce Type: cross Abstract: The rapid development and growing deployment of large language models (LLMs) have made it increasingly important to understand their capabilities. A c

applicationsarxiv-cs-ai
18 Aug 2026
Research

Do LLMs Know What to Ask and When? Evaluating Multi-Turn Information Seeking

DGX agent

arXiv:2608.14808v1 Announce Type: new Abstract: When a user question is underspecified, a capable model should recognize that its context is insufficient, identify the missing information, ask for it,

researcharxiv-cs-ai
18 Aug 2026
Safety

DYNASHIELD: A Black-Box Moving Target Defense for LLMs via Dynamic Decoding Customization

DGX agent

arXiv:2412.07672v2 Announce Type: replace-cross Abstract: Large language models (LLMs) remain vulnerable to jailbreak attacks in which adversarial prompts induce harmful outputs. Existing defenses oft

safetyarxiv-cs-cl
18 Aug 2026
Applications

Grounding Healthcare LLMs in a Causal Knowledge Graph: Framework, Metrics, and a Cardiovascular Pilot

DGX agent

arXiv:2608.15382v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly proposed for healthcare decision support, but their evaluations still reward single-answer accuracy rather

applicationsarxiv-cs-ai
18 Aug 2026
Model Releases

HarmProfile: Characterizing Harmful Distributions in Frontier LLMs

DGX agent

arXiv:2608.14577v1 Announce Type: cross Abstract: Frontier large language models (LLMs) safety evaluation has largely treated harmful generation as an attack outcome rather than as an object of analys

model-releasesarxiv-cs-ai
18 Aug 2026
Research

Implementation of a Metacognition Framework for Self-Awareness and Self-Regulation in Ensembles of LLMs

DGX agent

arXiv:2608.15400v1 Announce Type: new Abstract: Large Language Models (LLMs) are notorious for struggling with assessing their own uncertainty, detecting knowledge conflicts, or recognizing when probl

researcharxiv-cs-ai
18 Aug 2026
Model Releases

RamseyGadgets: A Graph Construction Dataset for LLMs

DGX agent

arXiv:2608.14999v1 Announce Type: cross Abstract: Constructing special graphs is an important task within graph theory and computer science. Many popular graph constructions are the result of a compre

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

The Machine's Internal Clock: Do LLMs Share Human Temporal Illusions?

DGX agent

arXiv:2608.15394v1 Announce Type: new Abstract: Human perception of time is subjective. Well-documented temporal illusions show that the brain relies on context and relational cues for judging duratio

model-releasesarxiv-cs-cl
18 Aug 2026
Model Releases

CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language

DGX agent

arXiv:2603.14501v2 Announce Type: replace-cross Abstract: Large Language Models excel in high-resource programming languages but struggle with low-resource ones. Existing research related to low-resou

model-releasesarxiv-cs-ai
14 Aug 2026
Safety

Gradual Code-Switching as Inference-Time Cross-Lingual Representational Alignment for LLMs

DGX agent

arXiv:2510.05678v2 Announce Type: replace-cross Abstract: While large language models (LLMs) have achieved notable progress in multilingual settings, their performance remains uneven across languages

safetyarxiv-cs-ai
14 Aug 2026
Model Releases

Can Frontier LLMs Match Natively Multimodal Embeddings? A Comparison on Hard-Negative Text-to-Image Retrieval

DGX agent

arXiv:2608.11343v1 Announce Type: new Abstract: Multimodal retrieval and classification across different types of media, spanning text, images,video and audio, has traditionally relied on dual-encoder

model-releasesarxiv-cs-ai
13 Aug 2026
Model Releases

Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs

DGX agent

arXiv:2608.11624v1 Announce Type: cross Abstract: Persuasion is a core dynamic of natural language communication, shaping how large language models (LLMs) update beliefs, resolve disagreements, and re

model-releasesarxiv-cs-ai
13 Aug 2026
Safety

Who Would You Vote For? Auditing Political Alignment in LLMs: An Italian Case-Study

DGX agent

arXiv:2608.11649v1 Announce Type: new Abstract: As users increasingly turn to Large Language Models (LLMs) for information and advice on political matters, particularly during election periods, the po

safetyarxiv-cs-cl
13 Aug 2026
Research

Do LLMs Benefit From Their Own Words?

DGX agent

arXiv:2602.24287v2 Announce Type: replace-cross Abstract: In multi-turn conversations, large language models typically condition on the full conversation history: both past user prompts and assistant

researcharxiv-cs-ai
12 Aug 2026
Model Releases

How Robust Are LLMs to Vietnamese Dialects?

DGX agent

arXiv:2608.10414v1 Announce Type: new Abstract: Large Language Models (LLMs) are typically evaluated on standard written Vietnamese, yet everyday communication frequently involves regional dialects th

model-releasesarxiv-cs-cl
12 Aug 2026
Research

TrAC: Trace-Conditioned Answer Consistency for Efficient Uncertainty Quantification in LLMs

DGX agent

arXiv:2608.00422v2 Announce Type: replace Abstract: Large language models (LLMs) can generate fluent reasoning traces that nevertheless lead to incorrect answers, making response-level uncertainty est

researcharxiv-cs-ai
12 Aug 2026
Local Ai

AquiLLM: An Architecture for Supporting Tacit Knowledge Capture in Research Groups

DGX agent

arXiv:2608.08883v1 Announce Type: new Abstract: Recent advances in retrieval-augmented generation (RAG) and large language models (LLMs) enable researchers to integrate AI into scientific workflows. H

local-aiarxiv-cs-ai
11 Aug 2026
Research

How Do Large Language Models Judge Social Attraction? Evidence from Theory-Grounded Persona Ratings Across Multiple LLMs and Humans

DGX agent

arXiv:2608.09717v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to perform subjective evaluations traditionally made by humans, yet their validity as social judges

researcharxiv-cs-ai
11 Aug 2026
Model Releases

MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks

DGX agent

arXiv:2507.03162v2 Announce Type: replace-cross Abstract: The rapid advancement of Large Language Models (LLMs) has transformed various domains, particularly computer science (CS) education. These mod

model-releasesarxiv-cs-ai
11 Aug 2026
Research

NeuPAT: Neuron-aware Plasticity Allocation Tuning for Language-Preserving MLLMs

DGX agent

arXiv:2608.08107v1 Announce Type: cross Abstract: Multimodal expansion of large language models (LLMs) enables new perceptual capabilities but often compromises the language intelligence acquired duri

researcharxiv-cs-ai
11 Aug 2026
Research

Prompt Embedding Probes (PEP): Hallucination Detection in LLMs from Hidden States

DGX agent

arXiv:2608.08024v1 Announce Type: cross Abstract: Large language models (LLMs) can generate fluent and useful responses but remain prone to hallucinations. We introduce Prompt Embedding Probes (PEP),

researcharxiv-cs-ai
11 Aug 2026
Research

Right Answer, Wrong Heat: Explanation-Aware Evaluation and Thermal-Grounded Feedback for MLLMs on Infrared Images

DGX agent

arXiv:2608.09145v1 Announce Type: new Abstract: General-purpose multimodal large language models (MLLMs) are increasingly applied to infrared images, where they are commonly scored by answer accuracy

researcharxiv-cs-cv
11 Aug 2026
Model Releases

Sparks of Cooperative Reasoning: LLMs as Strategic Hanabi Agents

DGX agent

arXiv:2601.18077v3 Announce Type: replace Abstract: Cooperative reasoning under incomplete information remains challenging for both humans and multi-agent systems. The card game Hanabi embodies this c

model-releasesarxiv-cs-cl
11 Aug 2026
Research

SymboUQ: Symbolic Uncertainty Quantification for Spatial Reasoning in LLMs

DGX agent

arXiv:2608.00417v2 Announce Type: replace Abstract: Although large language models (LLMs) can produce fluent spatial reasoning traces, their intermediate relations may fail to support the final conclu

researcharxiv-cs-ai
11 Aug 2026
Research

The Download: the next big thing in LLMs and how AI academic research is shifting

DGX agent

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. These startups are chasing the next big thing in LLMs Nine yea

researchmit-tech-review
11 Aug 2026
Agents

We built the Agentic World Cup - LLMs that compete in 1v1 Soccer. [P]

DGX agent

Hey everyone - we've been building something particularly relevant to ML at large - The Agentic World Cup - a platform where Agents compete in sports. As you know, today's Agents can code, do math, an

agentsr-machinelearning
11 Aug 2026
Model Releases

When Grammar Guides the Attack: Uncovering Control-Plane Vulnerabilities in LLMs with Structured Output

DGX agent

arXiv:2503.24191v4 Announce Type: replace-cross Abstract: Content Warning: This paper may contain unsafe or harmful content generated by LLMs that may be offensive to readers. Large Language Models (L

model-releasesarxiv-cs-ai
11 Aug 2026
Model Releases

Can Language Models Imagine Without Seeing? Ekphrasis: Measuring Visual Creative Ideation in Text-Only LLMs

DGX agent

arXiv:2608.06967v1 Announce Type: new Abstract: Current evaluations do not isolate whether text-only language models can originate visual concepts before image generation. Fluent visual prose can hide

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

GeoBenchLLM: A Comprehensive Benchmark for Evaluating LLMs on Geo-Related Tasks

DGX agent

arXiv:2608.07411v1 Announce Type: new Abstract: In the context of geodata, existing Large Language Models have often been studied in a homogeneous setting, which has considerably limited insights into

model-releasesarxiv-cs-ai
10 Aug 2026
Research

Grammar Engineering Meets LLMs: Development of Cantonese and Irish ParGram Treebanks

DGX agent

arXiv:2608.07283v1 Announce Type: new Abstract: Grammar engineering requires expertise in linguistic formalism and computational implementation, especially in parallel grammar projects that balance cr

researcharxiv-cs-cl
10 Aug 2026
Safety

As You Wish: Mission Planning with Formal Verification using LLMs in Precision Agriculture

DGX agent

arXiv:2606.18519v2 Announce Type: replace-cross Abstract: Though robotic systems are now being commercialized and deployed in various industries, many of these systems are highly specialized and often

safetyarxiv-cs-ai
7 Aug 2026
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