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Llms

How strongly do you believe LLM judges on the for the ML papers?? [D]

I'm curious about your thoughts on these, as far as I've seen most of the comments are nitpicking about "missing ablations" while some co...

Reddit - Machine Learning · 1 min ·
Sanctioned Chinese AI Firm SenseTime Releases Image Model Built for Speed | WIRED
Machine Learning

Sanctioned Chinese AI Firm SenseTime Releases Image Model Built for Speed | WIRED

With US restrictions limiting its access to advanced tech, SenseTime is doubling down on open source with a new model optimized to run on...

Wired - AI · 7 min ·
Llms

Built a prompt injection proxy that beats OpenAI Moderation and LlamaGuard — try it in 30 seconds without leaving this

Built Arc Gate — sits in front of any OpenAI-compatible endpoint and blocks prompt injection before it reaches your model. Just change yo...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2604.04133] Learning Robust Visual Features in Computed Tomography Enables Efficient Transfer Learning for Clinical Tasks
Llms

[2604.04133] Learning Robust Visual Features in Computed Tomography Enables Efficient Transfer Learning for Clinical Tasks

Abstract page for arXiv paper 2604.04133: Learning Robust Visual Features in Computed Tomography Enables Efficient Transfer Learning for ...

arXiv - AI · 4 min ·
[2604.04089] From Paper to Program: A Multi-Stage LLM-Assisted Workflow for Accelerating Quantum Many-Body Algorithm Development
Llms

[2604.04089] From Paper to Program: A Multi-Stage LLM-Assisted Workflow for Accelerating Quantum Many-Body Algorithm Development

Abstract page for arXiv paper 2604.04089: From Paper to Program: A Multi-Stage LLM-Assisted Workflow for Accelerating Quantum Many-Body A...

arXiv - AI · 3 min ·
[2604.04064] Extracting and Steering Emotion Representations in Small Language Models: A Methodological Comparison
Llms

[2604.04064] Extracting and Steering Emotion Representations in Small Language Models: A Methodological Comparison

Abstract page for arXiv paper 2604.04064: Extracting and Steering Emotion Representations in Small Language Models: A Methodological Comp...

arXiv - AI · 4 min ·
[2604.04078] BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging
Machine Learning

[2604.04078] BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging

Abstract page for arXiv paper 2604.04078: BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of ca...

arXiv - AI · 4 min ·
[2604.04060] CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks
Llms

[2604.04060] CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks

Abstract page for arXiv paper 2604.04060: CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks

arXiv - AI · 3 min ·
[2604.03980] Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics
Llms

[2604.03980] Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics

Abstract page for arXiv paper 2604.03980: Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics

arXiv - AI · 3 min ·
[2604.03968] TraceGuard: Structured Multi-Dimensional Monitoring as a Collusion-Resistant Control Protocol
Machine Learning

[2604.03968] TraceGuard: Structured Multi-Dimensional Monitoring as a Collusion-Resistant Control Protocol

Abstract page for arXiv paper 2604.03968: TraceGuard: Structured Multi-Dimensional Monitoring as a Collusion-Resistant Control Protocol

arXiv - AI · 4 min ·
[2604.03956] VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models
Llms

[2604.03956] VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models

Abstract page for arXiv paper 2604.03956: VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models

arXiv - AI · 4 min ·
[2604.03925] AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference
Llms

[2604.03925] AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference

Abstract page for arXiv paper 2604.03925: AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference

arXiv - AI · 3 min ·
[2604.03904] I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation
Llms

[2604.03904] I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation

Abstract page for arXiv paper 2604.03904: I-CALM: Incentivizing Confidence-Aware Abstention for LLM Hallucination Mitigation

arXiv - AI · 4 min ·
[2604.03881] Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation
Llms

[2604.03881] Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation

Abstract page for arXiv paper 2604.03881: Enhancing behavioral nudges with large language model-based iterative personalization: A field ...

arXiv - AI · 4 min ·
[2604.03814] InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset
Machine Learning

[2604.03814] InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset

Abstract page for arXiv paper 2604.03814: InCaRPose: In-Cabin Relative Camera Pose Estimation Model and Dataset

arXiv - AI · 4 min ·
[2604.03774] When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for Spectrum Management in Satellite-Terrestrial Networks
Llms

[2604.03774] When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for Spectrum Management in Satellite-Terrestrial Networks

Abstract page for arXiv paper 2604.03774: When Does Multimodal AI Help? Diagnostic Complementarity of Vision-Language Models and CNNs for...

arXiv - AI · 4 min ·
[2604.03755] Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News
Llms

[2604.03755] Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News

Abstract page for arXiv paper 2604.03755: Can Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News

arXiv - AI · 4 min ·
[2604.03758] AutoReSpec: A Framework for Generating Specification using Large Language Models
Llms

[2604.03758] AutoReSpec: A Framework for Generating Specification using Large Language Models

Abstract page for arXiv paper 2604.03758: AutoReSpec: A Framework for Generating Specification using Large Language Models

arXiv - AI · 4 min ·
[2604.03754] Testing the Limits of Truth Directions in LLMs
Llms

[2604.03754] Testing the Limits of Truth Directions in LLMs

Abstract page for arXiv paper 2604.03754: Testing the Limits of Truth Directions in LLMs

arXiv - AI · 3 min ·
[2604.03750] CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering
Llms

[2604.03750] CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering

Abstract page for arXiv paper 2604.03750: CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering

arXiv - AI · 4 min ·
[2604.03677] Unlocking Prompt Infilling Capability for Diffusion Language Models
Llms

[2604.03677] Unlocking Prompt Infilling Capability for Diffusion Language Models

Abstract page for arXiv paper 2604.03677: Unlocking Prompt Infilling Capability for Diffusion Language Models

arXiv - AI · 3 min ·
[2604.03688] Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
Llms

[2604.03688] Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation

Abstract page for arXiv paper 2604.03688: Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommenda...

arXiv - AI · 4 min ·
[2604.03672] AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services
Machine Learning

[2604.03672] AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services

Abstract page for arXiv paper 2604.03672: AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals i...

arXiv - AI · 3 min ·
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Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI AI Safety & Ethics

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