Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

Text-to-image is easy. Chaining LLMs to generate, critique, and iterate on images autonomously is a routing nightmare. AgentSwarms now supports Image generation playground and creative media workflows!

Hey everyone, If you’ve been building with AI agents, you know that orchestrating text is one thing, but stepping into multimodal workflo...

Reddit - Artificial Intelligence · 1 min ·
Llms

Zoom + Claude Connector

Zoom have just launched their Claude Connector bringing a whole host of data & information into your Claude workspace. As a Claude Co...

Reddit - Artificial Intelligence · 1 min ·
Llms

Must your chatbot rat you out?

New court cases may take chatbot conversations another step away from privacy You may recall that court cases have recently held users’ c...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2502.08666] Hallucination, Monofacts, and Miscalibration: An Empirical Investigation
Llms

[2502.08666] Hallucination, Monofacts, and Miscalibration: An Empirical Investigation

Abstract page for arXiv paper 2502.08666: Hallucination, Monofacts, and Miscalibration: An Empirical Investigation

arXiv - AI · 4 min ·
[2508.01077] The Lattice Geometry of Neural Network Quantization -- A Short Equivalence Proof of GPTQ and Babai's Algorithm
Llms

[2508.01077] The Lattice Geometry of Neural Network Quantization -- A Short Equivalence Proof of GPTQ and Babai's Algorithm

Abstract page for arXiv paper 2508.01077: The Lattice Geometry of Neural Network Quantization -- A Short Equivalence Proof of GPTQ and Ba...

arXiv - Machine Learning · 3 min ·
[2410.04949] Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law
Llms

[2410.04949] Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law

Abstract page for arXiv paper 2410.04949: Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study ...

arXiv - AI · 4 min ·
[2407.16893] The Price of Prompting: Profiling Energy Use in Large Language Models Inference
Llms

[2407.16893] The Price of Prompting: Profiling Energy Use in Large Language Models Inference

Abstract page for arXiv paper 2407.16893: The Price of Prompting: Profiling Energy Use in Large Language Models Inference

arXiv - AI · 4 min ·
[2506.07275] Tailored Behavior-Change Messaging for Physical Activity: Integrating Contextual Bandits and Large Language Models
Llms

[2506.07275] Tailored Behavior-Change Messaging for Physical Activity: Integrating Contextual Bandits and Large Language Models

Abstract page for arXiv paper 2506.07275: Tailored Behavior-Change Messaging for Physical Activity: Integrating Contextual Bandits and La...

arXiv - Machine Learning · 4 min ·
[2403.07183] Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
Llms

[2403.07183] Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Abstract page for arXiv paper 2403.07183: Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference...

arXiv - Machine Learning · 4 min ·
[2506.07218] Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
Llms

[2506.07218] Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward

Abstract page for arXiv paper 2506.07218: Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward

arXiv - Machine Learning · 4 min ·
[2506.03230] DiaBlo: Diagonal Blocks Are Sufficient For Finetuning
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[2506.03230] DiaBlo: Diagonal Blocks Are Sufficient For Finetuning

Abstract page for arXiv paper 2506.03230: DiaBlo: Diagonal Blocks Are Sufficient For Finetuning

arXiv - Machine Learning · 4 min ·
[2512.18857] CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning
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[2512.18857] CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning

Abstract page for arXiv paper 2512.18857: CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematica...

arXiv - Machine Learning · 4 min ·
[2511.09710] Echoing: Identity Failures when LLM Agents Talk to Each Other
Llms

[2511.09710] Echoing: Identity Failures when LLM Agents Talk to Each Other

Abstract page for arXiv paper 2511.09710: Echoing: Identity Failures when LLM Agents Talk to Each Other

arXiv - AI · 4 min ·
[2503.22165] Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Llms

[2503.22165] Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models

Abstract page for arXiv paper 2503.22165: Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models

arXiv - Machine Learning · 4 min ·
[2503.14572] Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation
Llms

[2503.14572] Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation

Abstract page for arXiv paper 2503.14572: Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation

arXiv - Machine Learning · 4 min ·
[2510.12264] Reducing Belief Deviation in Reinforcement Learning for Active Reasoning
Llms

[2510.12264] Reducing Belief Deviation in Reinforcement Learning for Active Reasoning

Abstract page for arXiv paper 2510.12264: Reducing Belief Deviation in Reinforcement Learning for Active Reasoning

arXiv - AI · 4 min ·
[2510.06410] Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?
Llms

[2510.06410] Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?

Abstract page for arXiv paper 2510.06410: Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?

arXiv - AI · 4 min ·
[2510.05684] D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
Llms

[2510.05684] D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI

Abstract page for arXiv paper 2510.05684: D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI

arXiv - AI · 4 min ·
[2509.23725] MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models
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[2509.23725] MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models

Abstract page for arXiv paper 2509.23725: MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language M...

arXiv - AI · 4 min ·
[2509.22613] Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Llms

[2509.22613] Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Abstract page for arXiv paper 2509.22613: Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Pers...

arXiv - Machine Learning · 4 min ·
[2507.08207] Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbreaking
Llms

[2507.08207] Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbreaking

Abstract page for arXiv paper 2507.08207: Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbr...

arXiv - AI · 3 min ·
[2505.19892] OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging
Llms

[2505.19892] OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging

Abstract page for arXiv paper 2505.19892: OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging

arXiv - AI · 4 min ·
[2505.13909] Efficient Agent Training for Computer Use
Llms

[2505.13909] Efficient Agent Training for Computer Use

Abstract page for arXiv paper 2505.13909: Efficient Agent Training for Computer Use

arXiv - Machine Learning · 3 min ·
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