Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

it is impossible to stop AI chatbots from using quotes (any instance of the character ")

no matter how i phrase it in the instructions, how many times i repeat the rule not to use quotes, and which LLM i use, i have failed to ...

Reddit - Artificial Intelligence · 1 min ·
Llms

Converting XQuery to SQL with Local LLMs: Do I Need Fine-Tuning or a Better Approach? [P]

​ I am trying to convert XQuery statements into SQL queries within an enterprise context, with the constraint that the solution must rely...

Reddit - Machine Learning · 1 min ·
AI: Fragility of today's Claude Cowork type AI Agent Apps. RTZ 1061
Llms

AI: Fragility of today's Claude Cowork type AI Agent Apps. RTZ 1061

...realities like memory management, highlight a longer road to resilient AI Agents and AGI

AI Tools & Products · 11 min ·

All Content

[2603.02236] CUDABench: Benchmarking LLMs for Text-to-CUDA Generation
Llms

[2603.02236] CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

Abstract page for arXiv paper 2603.02236: CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

arXiv - AI · 3 min ·
[2603.02540] A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities
Llms

[2603.02540] A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities

Abstract page for arXiv paper 2603.02540: A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities

arXiv - AI · 3 min ·
[2603.02528] LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model
Llms

[2603.02528] LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model

Abstract page for arXiv paper 2603.02528: LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model

arXiv - AI · 4 min ·
[2603.02504] NeuroProlog: Multi-Task Fine-Tuning for Neurosymbolic Mathematical Reasoning via the Cocktail Effect
Llms

[2603.02504] NeuroProlog: Multi-Task Fine-Tuning for Neurosymbolic Mathematical Reasoning via the Cocktail Effect

Abstract page for arXiv paper 2603.02504: NeuroProlog: Multi-Task Fine-Tuning for Neurosymbolic Mathematical Reasoning via the Cocktail E...

arXiv - AI · 4 min ·
[2603.02232] Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback
Llms

[2603.02232] Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback

Abstract page for arXiv paper 2603.02232: Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback

arXiv - AI · 4 min ·
[2603.02473] Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory
Llms

[2603.02473] Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory

Abstract page for arXiv paper 2603.02473: Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory

arXiv - AI · 3 min ·
[2603.02435] VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings
Llms

[2603.02435] VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings

Abstract page for arXiv paper 2603.02435: VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings

arXiv - Machine Learning · 4 min ·
[2603.02229] Safety Training Persists Through Helpfulness Optimization in LLM Agents
Llms

[2603.02229] Safety Training Persists Through Helpfulness Optimization in LLM Agents

Abstract page for arXiv paper 2603.02229: Safety Training Persists Through Helpfulness Optimization in LLM Agents

arXiv - Machine Learning · 3 min ·
[2603.02228] Neural Paging: Learning Context Management Policies for Turing-Complete Agents
Llms

[2603.02228] Neural Paging: Learning Context Management Policies for Turing-Complete Agents

Abstract page for arXiv paper 2603.02228: Neural Paging: Learning Context Management Policies for Turing-Complete Agents

arXiv - AI · 3 min ·
[2603.02240] SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Memory Poisoning
Llms

[2603.02240] SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Memory Poisoning

Abstract page for arXiv paper 2603.02240: SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Mem...

arXiv - AI · 3 min ·
[2603.02239] Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents
Llms

[2603.02239] Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents

Abstract page for arXiv paper 2603.02239: Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foun...

arXiv - AI · 4 min ·
[2603.02222] MedCalc-Bench Doesn't Measure What You Think: A Benchmark Audit and the Case for Open-Book Evaluation
Llms

[2603.02222] MedCalc-Bench Doesn't Measure What You Think: A Benchmark Audit and the Case for Open-Book Evaluation

Abstract page for arXiv paper 2603.02222: MedCalc-Bench Doesn't Measure What You Think: A Benchmark Audit and the Case for Open-Book Eval...

arXiv - AI · 3 min ·
[2603.02221] MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction
Llms

[2603.02221] MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction

Abstract page for arXiv paper 2603.02221: MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabul...

arXiv - AI · 4 min ·
[2603.02219] NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels
Llms

[2603.02219] NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels

Abstract page for arXiv paper 2603.02219: NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels

arXiv - AI · 3 min ·
[2603.02218] Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain
Llms

[2603.02218] Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain

Abstract page for arXiv paper 2603.02218: Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain

arXiv - AI · 4 min ·
[2603.02216] ATPO: Adaptive Tree Policy Optimization for Multi-Turn Medical Dialogue
Llms

[2603.02216] ATPO: Adaptive Tree Policy Optimization for Multi-Turn Medical Dialogue

Abstract page for arXiv paper 2603.02216: ATPO: Adaptive Tree Policy Optimization for Multi-Turn Medical Dialogue

arXiv - AI · 4 min ·
[2603.02215] RxnNano:Training Compact LLMs for Chemical Reaction and Retrosynthesis Prediction via Hierarchical Curriculum Learning
Llms

[2603.02215] RxnNano:Training Compact LLMs for Chemical Reaction and Retrosynthesis Prediction via Hierarchical Curriculum Learning

Abstract page for arXiv paper 2603.02215: RxnNano:Training Compact LLMs for Chemical Reaction and Retrosynthesis Prediction via Hierarchi...

arXiv - AI · 4 min ·
I stopped using Claude like a chatbot — 7 prompt shifts that reclaimed 10 hours of my week
Llms

I stopped using Claude like a chatbot — 7 prompt shifts that reclaimed 10 hours of my week

Is Claude underperforming? It’s probably not the model—it’s your prompts. Discover the 7 specific strategies, from 'Few-Shot' prompting t...

AI Tools & Products · 9 min ·
Llms

[D] Quantified analysis of 2,218 Gary Marcus claims - two independent LLM pipelines, scored against evidence

Built a dataset scoring every testable claim from Marcus's 474 Substack posts. Two pipelines (Claude Opus 4.6 and ChatGPT Codex) analyzed...

Reddit - Machine Learning · 1 min ·
IBM Confluent Deal And Claude Code Put AI Focus In View
Llms

IBM Confluent Deal And Claude Code Put AI Focus In View

IBM is acquiring Confluent to enhance its AI and cloud services for enterprise clients, while Anthropic has launched Claude Code, a codin...

AI Tools & Products · 6 min ·
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