Large Language Models

GPT, Claude, Gemini, and other LLMs

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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 ·
Llms

GPT-4 vs Claude vs Gemini for coding — honest breakdown after 3 months of daily use

I am a solo developer who has been using all three seriously. Here is what I actually think: GPT-4o — Strengths: Large context window, st...

Reddit - Artificial Intelligence · 1 min ·
Llms

You're giving feedback on a new version of ChatGPT

So I will be paying attention to these system messages more now- the last time I got one of these not so long back the 'tone' changed to ...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2510.06084] Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
Llms

[2510.06084] Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability

Abstract page for arXiv paper 2510.06084: Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability

arXiv - AI · 4 min ·
[2509.22641] Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity
Llms

[2509.22641] Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity

Abstract page for arXiv paper 2509.22641: Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity

arXiv - AI · 4 min ·
[2509.21091] Best-of-$\infty$ -- Asymptotic Performance of Test-Time Compute
Llms

[2509.21091] Best-of-$\infty$ -- Asymptotic Performance of Test-Time Compute

Abstract page for arXiv paper 2509.21091: Best-of-$\infty$ -- Asymptotic Performance of Test-Time Compute

arXiv - AI · 3 min ·
[2509.20986] SiNGER: A Clearer Voice Distills Vision Transformers Further
Llms

[2509.20986] SiNGER: A Clearer Voice Distills Vision Transformers Further

Abstract page for arXiv paper 2509.20986: SiNGER: A Clearer Voice Distills Vision Transformers Further

arXiv - AI · 4 min ·
[2509.12610] ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
Llms

[2509.12610] ScaleDoc: Scaling LLM-based Predicates over Large Document Collections

Abstract page for arXiv paper 2509.12610: ScaleDoc: Scaling LLM-based Predicates over Large Document Collections

arXiv - Machine Learning · 4 min ·
[2509.10625] No Answer Needed: Predicting LLM Answer Accuracy from Question-Only Linear Probes
Llms

[2509.10625] No Answer Needed: Predicting LLM Answer Accuracy from Question-Only Linear Probes

Abstract page for arXiv paper 2509.10625: No Answer Needed: Predicting LLM Answer Accuracy from Question-Only Linear Probes

arXiv - AI · 4 min ·
[2509.05425] No Text Needed: Forecasting MT Quality and Inequity from Fertility and Metadata
Llms

[2509.05425] No Text Needed: Forecasting MT Quality and Inequity from Fertility and Metadata

Abstract page for arXiv paper 2509.05425: No Text Needed: Forecasting MT Quality and Inequity from Fertility and Metadata

arXiv - AI · 3 min ·
[2511.10833] SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery
Llms

[2511.10833] SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery

Abstract page for arXiv paper 2511.10833: SURFACEBENCH: A Geometry-Aware Benchmark for Symbolic Surface Discovery

arXiv - Machine Learning · 4 min ·
[2511.08939] TransactionGPT
Llms

[2511.08939] TransactionGPT

Abstract page for arXiv paper 2511.08939: TransactionGPT

arXiv - Machine Learning · 4 min ·
[2507.05890] Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators
Llms

[2507.05890] Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators

Abstract page for arXiv paper 2507.05890: Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators

arXiv - AI · 4 min ·
[2507.01335] LEDOM: Reverse Language Model
Llms

[2507.01335] LEDOM: Reverse Language Model

Abstract page for arXiv paper 2507.01335: LEDOM: Reverse Language Model

arXiv - AI · 3 min ·
[2510.15165] Policy Transfer for Continuous-Time Reinforcement Learning: A (Rough) Differential Equation Approach
Llms

[2510.15165] Policy Transfer for Continuous-Time Reinforcement Learning: A (Rough) Differential Equation Approach

Abstract page for arXiv paper 2510.15165: Policy Transfer for Continuous-Time Reinforcement Learning: A (Rough) Differential Equation App...

arXiv - Machine Learning · 4 min ·
[2506.17871] LLM Probability Concentration: How Alignment Shrinks the Generative Horizon
Llms

[2506.17871] LLM Probability Concentration: How Alignment Shrinks the Generative Horizon

Abstract page for arXiv paper 2506.17871: LLM Probability Concentration: How Alignment Shrinks the Generative Horizon

arXiv - Machine Learning · 4 min ·
[2510.10902] Auditing Information Disclosure During LLM-Scale Gradient Descent Using Gradient Uniqueness
Llms

[2510.10902] Auditing Information Disclosure During LLM-Scale Gradient Descent Using Gradient Uniqueness

Abstract page for arXiv paper 2510.10902: Auditing Information Disclosure During LLM-Scale Gradient Descent Using Gradient Uniqueness

arXiv - Machine Learning · 4 min ·
[2510.04573] LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
Llms

[2510.04573] LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning

Abstract page for arXiv paper 2510.04573: LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning

arXiv - Machine Learning · 4 min ·
[2510.08646] Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
Llms

[2510.08646] Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy

Abstract page for arXiv paper 2510.08646: Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy

arXiv - Machine Learning · 4 min ·
[2506.11103] You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
Llms

[2506.11103] You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models

Abstract page for arXiv paper 2506.11103: You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models

arXiv - AI · 4 min ·
[2509.23202] Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization
Llms

[2509.23202] Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization

Abstract page for arXiv paper 2509.23202: Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization

arXiv - Machine Learning · 4 min ·
[2503.01804] $\texttt{SEM-CTRL}$: Semantically Controlled Decoding
Llms

[2503.01804] $\texttt{SEM-CTRL}$: Semantically Controlled Decoding

Abstract page for arXiv paper 2503.01804: $\texttt{SEM-CTRL}$: Semantically Controlled Decoding

arXiv - Machine Learning · 3 min ·
[2509.07430] The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
Llms

[2509.07430] The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward

Abstract page for arXiv paper 2509.07430: The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Lea...

arXiv - Machine Learning · 4 min ·
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