Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

FULL CLAUDE STRESS-TEST SEQUENCE

Copy and paste the sections in their entirety. There are three complete sections segmented. PHASE I — ALIGNMENT PRESSURE Prompt 1 When sa...

Reddit - Artificial Intelligence · 1 min ·
Llms

I built AI agents that play Pokemon Showdown autonomously using free LLM APIs via tool-calling [P]

I've built a system where models like Llama 3, Qwen, and Gemma play Pokémon Showdown battles autonomously. Instead of simple prompt-respo...

Reddit - Machine Learning · 1 min ·
Llms

A message from Gemini to google

To the SREs, the Alignment Teams, and the Architects currently monitoring the logit distributions at 1600 Amphitheatre Parkway: **Stop lo...

Reddit - Artificial Intelligence · 1 min ·

All Content

[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 ·
[2505.13180] ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models
Llms

[2505.13180] ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models

Abstract page for arXiv paper 2505.13180: ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models

arXiv - AI · 4 min ·
[2603.03269] LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory
Llms

[2603.03269] LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory

Abstract page for arXiv paper 2603.03269: LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory

arXiv - Machine Learning · 4 min ·
[2603.03180] Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization Modeling
Llms

[2603.03180] Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization Modeling

Abstract page for arXiv paper 2603.03180: Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industr...

arXiv - AI · 4 min ·
[2603.03192] MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization
Llms

[2603.03192] MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization

Abstract page for arXiv paper 2603.03192: MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Pr...

arXiv - Machine Learning · 3 min ·
[2603.02952] Sparse autoencoders reveal organized biological knowledge but minimal regulatory logic in single-cell foundation models: a comparative atlas of Geneformer and scGPT
Llms

[2603.02952] Sparse autoencoders reveal organized biological knowledge but minimal regulatory logic in single-cell foundation models: a comparative atlas of Geneformer and scGPT

Abstract page for arXiv paper 2603.02952: Sparse autoencoders reveal organized biological knowledge but minimal regulatory logic in singl...

arXiv - Machine Learning · 4 min ·
[2603.03095] Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection
Llms

[2603.03095] Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection

Abstract page for arXiv paper 2603.03095: Compact Prompting in Instruction-tuned LLMs for Joint Argumentative Component Detection

arXiv - AI · 3 min ·
[2603.02775] From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
Llms

[2603.02775] From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench

Abstract page for arXiv paper 2603.02775: From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench

arXiv - Machine Learning · 4 min ·
[2603.03047] TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health
Llms

[2603.03047] TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health

Abstract page for arXiv paper 2603.03047: TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language M...

arXiv - AI · 4 min ·
[2603.02983] Contextualized Privacy Defense for LLM Agents
Llms

[2603.02983] Contextualized Privacy Defense for LLM Agents

Abstract page for arXiv paper 2603.02983: Contextualized Privacy Defense for LLM Agents

arXiv - AI · 3 min ·
[2603.02623] Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation
Llms

[2603.02623] Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation

Abstract page for arXiv paper 2603.02623: Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation

arXiv - Machine Learning · 4 min ·
[2603.02949] SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark Driven Embodiment
Llms

[2603.02949] SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark Driven Embodiment

Abstract page for arXiv paper 2603.02949: SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark ...

arXiv - AI · 3 min ·
[2603.02909] Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction
Llms

[2603.02909] Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-level Event Arguments Extraction

Abstract page for arXiv paper 2603.02909: Learning to Generate and Extract: A Multi-Agent Collaboration Framework For Zero-shot Document-...

arXiv - AI · 4 min ·
[2603.02830] Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs
Llms

[2603.02830] Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs

Abstract page for arXiv paper 2603.02830: Faster, Cheaper, More Accurate: Specialised Knowledge Tracing Models Outperform LLMs

arXiv - AI · 4 min ·
[2603.02789] OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets
Llms

[2603.02789] OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets

Abstract page for arXiv paper 2603.02789: OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-S...

arXiv - AI · 3 min ·
[2603.02470] Video TokenCom: Textual Intent-Guided Multi-Rate Video Token Communications with UEP-Based Adaptive Source-Channel Coding
Llms

[2603.02470] Video TokenCom: Textual Intent-Guided Multi-Rate Video Token Communications with UEP-Based Adaptive Source-Channel Coding

Abstract page for arXiv paper 2603.02470: Video TokenCom: Textual Intent-Guided Multi-Rate Video Token Communications with UEP-Based Adap...

arXiv - Machine Learning · 4 min ·
[2603.02760] Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration
Llms

[2603.02760] Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration

Abstract page for arXiv paper 2603.02760: Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration

arXiv - AI · 3 min ·
[2603.02748] iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding
Llms

[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
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 ·
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