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GPT, Claude, Gemini, and other LLMs

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Google’s Gemini AI can answer your questions with 3D models and simulations
Llms

Google’s Gemini AI can answer your questions with 3D models and simulations

Google's latest upgrade for Gemini will allow the chatbot to generate interactive 3D models and simulations in response to your questions...

The Verge - AI · 4 min ·
Moody’s Integrates AI Agents With Anthropic’s Claude
Llms

Moody’s Integrates AI Agents With Anthropic’s Claude

AI Tools & Products · 4 min ·
AI on the couch: Anthropic gives Claude 20 hours of psychiatry
Llms

AI on the couch: Anthropic gives Claude 20 hours of psychiatry

AI Tools & Products · 6 min ·

All Content

[2603.03536] SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems
Llms

[2603.03536] SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

Abstract page for arXiv paper 2603.03536: SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems

arXiv - AI · 3 min ·
[2603.03946] Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
Llms

[2603.03946] Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models

Abstract page for arXiv paper 2603.03946: Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models

arXiv - Machine Learning · 4 min ·
[2603.03512] Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks
Llms

[2603.03512] Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks

Abstract page for arXiv paper 2603.03512: Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks

arXiv - AI · 4 min ·
[2603.03508] Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi
Llms

[2603.03508] Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi

Abstract page for arXiv paper 2603.03508: Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi

arXiv - AI · 3 min ·
[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior
Llms

[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior

Abstract page for arXiv paper 2603.03805: Relational In-Context Learning via Synthetic Pre-training with Structural Prior

arXiv - AI · 3 min ·
[2603.03417] Parallel Test-Time Scaling with Multi-Sequence Verifiers
Llms

[2603.03417] Parallel Test-Time Scaling with Multi-Sequence Verifiers

Abstract page for arXiv paper 2603.03417: Parallel Test-Time Scaling with Multi-Sequence Verifiers

arXiv - AI · 4 min ·
[2603.03415] Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs
Llms

[2603.03415] Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs

Abstract page for arXiv paper 2603.03415: Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs

arXiv - AI · 4 min ·
[2603.03756] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
Llms

[2603.03756] MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier

Abstract page for arXiv paper 2603.03756: MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Ba...

arXiv - Machine Learning · 3 min ·
[2603.03410] On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation
Llms

[2603.03410] On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation

Abstract page for arXiv paper 2603.03410: On Google's SynthID-Text LLM Watermarking System: Theoretical Analysis and Empirical Validation

arXiv - AI · 4 min ·
[2603.03379] MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
Llms

[2603.03379] MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

Abstract page for arXiv paper 2603.03379: MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

arXiv - AI · 4 min ·
[2603.03612] Why Are Linear RNNs More Parallelizable?
Llms

[2603.03612] Why Are Linear RNNs More Parallelizable?

Abstract page for arXiv paper 2603.03612: Why Are Linear RNNs More Parallelizable?

arXiv - Machine Learning · 4 min ·
[2603.03371] Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs
Llms

[2603.03371] Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs

Abstract page for arXiv paper 2603.03371: Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs

arXiv - AI · 4 min ·
[2603.03597] NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training
Llms

[2603.03597] NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training

Abstract page for arXiv paper 2603.03597: NuMuon: Nuclear-Norm-Constrained Muon for Compressible LLM Training

arXiv - Machine Learning · 3 min ·
[2603.03538] Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs
Llms

[2603.03538] Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs

Abstract page for arXiv paper 2603.03538: Online Learnability of Chain-of-Thought Verifiers: Soundness and Completeness Trade-offs

arXiv - Machine Learning · 4 min ·
[2603.03535] Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts
Llms

[2603.03535] Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts

Abstract page for arXiv paper 2603.03535: Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts

arXiv - Machine Learning · 3 min ·
[2603.03352] Perfect score on IPhO 2025 theory by Gemini agent
Llms

[2603.03352] Perfect score on IPhO 2025 theory by Gemini agent

Abstract page for arXiv paper 2603.03352: Perfect score on IPhO 2025 theory by Gemini agent

arXiv - AI · 3 min ·
[2603.03527] Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis
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[2603.03527] Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis

Abstract page for arXiv paper 2603.03527: Logit-Level Uncertainty Quantification in Vision-Language Models for Histopathology Image Analysis

arXiv - Machine Learning · 4 min ·
[2603.03524] Test-Time Meta-Adaptation with Self-Synthesis
Llms

[2603.03524] Test-Time Meta-Adaptation with Self-Synthesis

Abstract page for arXiv paper 2603.03524: Test-Time Meta-Adaptation with Self-Synthesis

arXiv - AI · 3 min ·
[2603.03517] MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery
Llms

[2603.03517] MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery

Abstract page for arXiv paper 2603.03517: MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery

arXiv - AI · 4 min ·
[2603.03332] Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
Llms

[2603.03332] Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations

Abstract page for arXiv paper 2603.03332: Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations

arXiv - Machine Learning · 4 min ·
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