Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

Deterministic vs. probabilistic guardrails for agentic AI — our approach and an open-source tool [D]

We've been thinking hard about whether safety guardrails for AI agents should be LLM-based (probabilistic) or rule-based (deterministic)....

Reddit - Machine Learning · 1 min ·
The 12-month window | TechCrunch
Llms

The 12-month window | TechCrunch

A lot of AI startups exist partly because the foundation models haven't expanded into their category yet. As many jokingly acknowledge, t...

TechCrunch - AI · 3 min ·
Llms

How LLMs decide which pages to cite — and how to optimize for it

When ChatGPT or Perplexity answers a question, it runs RAG: retrieves top candidates from a crawled index, then scores them. The scoring ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2602.01701] Beyond Single-Modal Analytics: A Framework for Integrating Heterogeneous LLM-Based Query Systems for Multi-Modal Data
Llms

[2602.01701] Beyond Single-Modal Analytics: A Framework for Integrating Heterogeneous LLM-Based Query Systems for Multi-Modal Data

Abstract page for arXiv paper 2602.01701: Beyond Single-Modal Analytics: A Framework for Integrating Heterogeneous LLM-Based Query System...

arXiv - AI · 4 min ·
[2602.01649] Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning
Llms

[2602.01649] Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning

Abstract page for arXiv paper 2602.01649: Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning

arXiv - AI · 4 min ·
[2602.00428] When Agents "Misremember" Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems
Llms

[2602.00428] When Agents "Misremember" Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systems

Abstract page for arXiv paper 2602.00428: When Agents "Misremember" Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent S...

arXiv - AI · 4 min ·
[2601.22060] Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
Llms

[2601.22060] Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

Abstract page for arXiv paper 2601.22060: Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

arXiv - AI · 4 min ·
[2601.21895] Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text
Llms

[2601.21895] Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text

Abstract page for arXiv paper 2601.21895: Learn-to-Distance: Distance Learning for Detecting LLM-Generated Text

arXiv - AI · 4 min ·
[2602.08324] Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression
Llms

[2602.08324] Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression

Abstract page for arXiv paper 2602.08324: Towards Efficient Large Language Reasoning Models via Extreme-Ratio Chain-of-Thought Compression

arXiv - Machine Learning · 4 min ·
[2602.05735] CSRv2: Unlocking Ultra-Sparse Embeddings
Llms

[2602.05735] CSRv2: Unlocking Ultra-Sparse Embeddings

Abstract page for arXiv paper 2602.05735: CSRv2: Unlocking Ultra-Sparse Embeddings

arXiv - Machine Learning · 4 min ·
[2602.04369] Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis
Llms

[2602.04369] Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis

Abstract page for arXiv paper 2602.04369: Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis

arXiv - Machine Learning · 4 min ·
[2602.02742] Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding
Llms

[2602.02742] Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding

Abstract page for arXiv paper 2602.02742: Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding

arXiv - Machine Learning · 3 min ·
[2602.02555] Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards
Llms

[2602.02555] Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards

Abstract page for arXiv paper 2602.02555: Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Rein...

arXiv - Machine Learning · 4 min ·
[2512.08937] When AI Gives Advice: Evaluating AI and Human Responses to Online Advice-Seeking for Well-Being
Llms

[2512.08937] When AI Gives Advice: Evaluating AI and Human Responses to Online Advice-Seeking for Well-Being

Abstract page for arXiv paper 2512.08937: When AI Gives Advice: Evaluating AI and Human Responses to Online Advice-Seeking for Well-Being

arXiv - AI · 4 min ·
[2601.20838] Reward Models Inherit Value Biases from Pretraining
Llms

[2601.20838] Reward Models Inherit Value Biases from Pretraining

Abstract page for arXiv paper 2601.20838: Reward Models Inherit Value Biases from Pretraining

arXiv - Machine Learning · 4 min ·
[2601.20088] Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery
Llms

[2601.20088] Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery

Abstract page for arXiv paper 2601.20088: Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery

arXiv - Machine Learning · 4 min ·
[2512.03794] AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition
Llms

[2512.03794] AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition

Abstract page for arXiv paper 2512.03794: AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition

arXiv - Machine Learning · 4 min ·
[2512.01822] InnoGym: Benchmarking the Innovation Potential of AI Agents
Llms

[2512.01822] InnoGym: Benchmarking the Innovation Potential of AI Agents

Abstract page for arXiv paper 2512.01822: InnoGym: Benchmarking the Innovation Potential of AI Agents

arXiv - Machine Learning · 4 min ·
[2511.21740] A cross-species neural foundation model for end-to-end speech decoding
Llms

[2511.21740] A cross-species neural foundation model for end-to-end speech decoding

Abstract page for arXiv paper 2511.21740: A cross-species neural foundation model for end-to-end speech decoding

arXiv - AI · 4 min ·
[2511.21722] German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
Llms

[2511.21722] German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies

Abstract page for arXiv paper 2511.21722: German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Populatio...

arXiv - AI · 4 min ·
[2601.18753] HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
Llms

[2601.18753] HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs

Abstract page for arXiv paper 2601.18753: HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs

arXiv - Machine Learning · 4 min ·
[2511.10985] When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets
Llms

[2511.10985] When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets

Abstract page for arXiv paper 2511.10985: When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets

arXiv - AI · 4 min ·
[2601.04786] AgentOCR: Reimagining Agent History via Optical Self-Compression
Llms

[2601.04786] AgentOCR: Reimagining Agent History via Optical Self-Compression

Abstract page for arXiv paper 2601.04786: AgentOCR: Reimagining Agent History via Optical Self-Compression

arXiv - Machine Learning · 4 min ·
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