Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

I am not an "anti" like this guy, but still an interesting video of person interacting with chat 4o

(Posting Here because removed by Chatgpt Complaints moderators because the model here is 4o, and refuse to believe there were any safety ...

Reddit - Artificial Intelligence · 1 min ·
Llms

We built a way for two people's AI context to talk to each other (without sharing their conversations)

We've been thinking about how we use AI in our relationships. Big part of it is about other people. Talking about them, figuring out what...

Reddit - Artificial Intelligence · 1 min ·
No flattery please, Claude: I’m British | Brief letters
Llms

No flattery please, Claude: I’m British | Brief letters

AI Tools & Products · 2 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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