Large Language Models

GPT, Claude, Gemini, and other LLMs

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Cal Poly's ChatGPT: A Resource or a Dependency?
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Cal Poly's ChatGPT: A Resource or a Dependency?

In February 2025, the Cal State system signed a $17 million contract with OpenAI that granted Cal State students, faculty and staff free ...

AI Tools & Products · 6 min ·
AI Update: Listen All of Y'all It's a Sabotage - What Is Claude 4.6, and Should We Be Concerned?
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AI Update: Listen All of Y'all It's a Sabotage - What Is Claude 4.6, and Should We Be Concerned?

The latest release of Anthropic’s enterprise-grade generative AI - Claude 4.6 – is the newest iteration of the Claude model family that p...

AI Tools & Products · 4 min ·
Google launches Gemini AI on Google-equipped vehicles (GOOG:NASDAQ)
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Google launches Gemini AI on Google-equipped vehicles (GOOG:NASDAQ)

Google Gemini AI is upgrading Google Assistant in vehicles—conversational directions, trip updates, and media control via software update.

AI Tools & Products · 1 min ·

All Content

[2603.02748] iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding
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[2603.02748] iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding

Abstract page for arXiv paper 2603.02748: iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding

arXiv - AI · 3 min ·
[2603.02709] Sensory-Aware Sequential Recommendation via Review-Distilled Representations
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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?
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[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 ·
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