Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

Converting XQuery to SQL with Local LLMs: Do I Need Fine-Tuning or a Better Approach? [P]

​ I am trying to convert XQuery statements into SQL queries within an enterprise context, with the constraint that the solution must rely...

Reddit - Machine Learning · 1 min ·
AI: Fragility of today's Claude Cowork type AI Agent Apps. RTZ 1061
Llms

AI: Fragility of today's Claude Cowork type AI Agent Apps. RTZ 1061

...realities like memory management, highlight a longer road to resilient AI Agents and AGI

AI Tools & Products · 11 min ·
Llms

Gemini caught a $280M crypto exploit before it hit the news, then retracted it as a hallucination because I couldn't verify it - because the news hadn't dropped yet

So this happened mere hours ago and I feel like I genuinely stumbled onto something worth documenting for people interested in AI behavio...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.02709] Sensory-Aware Sequential Recommendation via Review-Distilled Representations
Llms

[2603.02709] Sensory-Aware Sequential Recommendation via Review-Distilled Representations

Abstract page for arXiv paper 2603.02709: Sensory-Aware Sequential Recommendation via Review-Distilled Representations

arXiv - AI · 4 min ·
[2603.02376] CUCo: An Agentic Framework for Compute and Communication Co-design
Llms

[2603.02376] CUCo: An Agentic Framework for Compute and Communication Co-design

Abstract page for arXiv paper 2603.02376: CUCo: An Agentic Framework for Compute and Communication Co-design

arXiv - Machine Learning · 3 min ·
[2603.02676] ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs
Llms

[2603.02676] ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs

Abstract page for arXiv paper 2603.02676: ITLC at SemEval-2026 Task 11: Normalization and Deterministic Parsing for Formal Reasoning in LLMs

arXiv - AI · 3 min ·
[2603.02655] Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches
Llms

[2603.02655] Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches

Abstract page for arXiv paper 2603.02655: Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approa...

arXiv - AI · 4 min ·
[2603.02597] GPUTOK: GPU Accelerated Byte Level BPE Tokenization
Llms

[2603.02597] GPUTOK: GPU Accelerated Byte Level BPE Tokenization

Abstract page for arXiv paper 2603.02597: GPUTOK: GPU Accelerated Byte Level BPE Tokenization

arXiv - Machine Learning · 3 min ·
[2603.02578] How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
Llms

[2603.02578] How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

Abstract page for arXiv paper 2603.02578: How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

arXiv - AI · 3 min ·
[2603.02248] HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval
Llms

[2603.02248] HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval

Abstract page for arXiv paper 2603.02248: HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text ...

arXiv - Machine Learning · 4 min ·
[2603.02557] CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment
Llms

[2603.02557] CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment

Abstract page for arXiv paper 2603.02557: CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment

arXiv - AI · 4 min ·
[2603.02556] Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs
Llms

[2603.02556] Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs

Abstract page for arXiv paper 2603.02556: Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs

arXiv - Machine Learning · 4 min ·
[2603.02547] CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think
Llms

[2603.02547] CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think

Abstract page for arXiv paper 2603.02547: CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think

arXiv - Machine Learning · 3 min ·
[2603.02512] Human-Certified Module Repositories for the AI Age
Llms

[2603.02512] Human-Certified Module Repositories for the AI Age

Abstract page for arXiv paper 2603.02512: Human-Certified Module Repositories for the AI Age

arXiv - AI · 3 min ·
[2603.03206] Understanding and Mitigating Dataset Corruption in LLM Steering
Llms

[2603.03206] Understanding and Mitigating Dataset Corruption in LLM Steering

Abstract page for arXiv paper 2603.03206: Understanding and Mitigating Dataset Corruption in LLM Steering

arXiv - AI · 4 min ·
[2603.02420] Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization
Llms

[2603.02420] Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization

Abstract page for arXiv paper 2603.02420: Slurry-as-a-Service: A Modest Proposal on Scalable Pluralistic Alignment for Nutrient Optimization

arXiv - AI · 4 min ·
[2603.03155] Information Routing in Atomistic Foundation Models: How Equivariance Creates Linearly Disentangled Representations
Llms

[2603.03155] Information Routing in Atomistic Foundation Models: How Equivariance Creates Linearly Disentangled Representations

Abstract page for arXiv paper 2603.03155: Information Routing in Atomistic Foundation Models: How Equivariance Creates Linearly Disentang...

arXiv - AI · 4 min ·
[2603.02297] ZeroDayBench: Evaluating LLM Agents on Unseen Zero-Day Vulnerabilities for Cyberdefense
Llms

[2603.02297] ZeroDayBench: Evaluating LLM Agents on Unseen Zero-Day Vulnerabilities for Cyberdefense

Abstract page for arXiv paper 2603.02297: ZeroDayBench: Evaluating LLM Agents on Unseen Zero-Day Vulnerabilities for Cyberdefense

arXiv - AI · 3 min ·
[2603.02345] RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection
Llms

[2603.02345] RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection

Abstract page for arXiv paper 2603.02345: RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection

arXiv - AI · 4 min ·
[2603.03031] Step-Level Sparse Autoencoder for Reasoning Process Interpretation
Llms

[2603.03031] Step-Level Sparse Autoencoder for Reasoning Process Interpretation

Abstract page for arXiv paper 2603.03031: Step-Level Sparse Autoencoder for Reasoning Process Interpretation

arXiv - Machine Learning · 4 min ·
[2603.02277] Quantifying Frontier LLM Capabilities for Container Sandbox Escape
Llms

[2603.02277] Quantifying Frontier LLM Capabilities for Container Sandbox Escape

Abstract page for arXiv paper 2603.02277: Quantifying Frontier LLM Capabilities for Container Sandbox Escape

arXiv - AI · 3 min ·
[2603.03000] Why Does RLAIF Work At All?
Llms

[2603.03000] Why Does RLAIF Work At All?

Abstract page for arXiv paper 2603.03000: Why Does RLAIF Work At All?

arXiv - AI · 3 min ·
[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
Llms

[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning

Abstract page for arXiv paper 2603.02266: When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware ...

arXiv - AI · 4 min ·
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