Large Language Models

GPT, Claude, Gemini, and other LLMs

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Chrome now lets you turn AI prompts into repeatable ‘Skills’ | The Verge
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Chrome now lets you turn AI prompts into repeatable ‘Skills’ | The Verge

Google is launching a new Chrome workflow feature that allows you to reuse your favorite Gemini commands across multiple web pages.

The Verge - AI · 4 min ·
Google adds AI Skills to Chrome to help you save favorite workflows | TechCrunch
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Google adds AI Skills to Chrome to help you save favorite workflows | TechCrunch

Google is adding “Skills” to Chrome, letting users save and reuse AI prompts across websites. The feature builds on Gemini’s browser inte...

TechCrunch - AI · 4 min ·
Google brings its Gemini Personal Intelligence feature to India | TechCrunch
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Google brings its Gemini Personal Intelligence feature to India | TechCrunch

The feature lets users connect Google accounts like Gmail and Photos to get personalized answers.

TechCrunch - AI · 3 min ·

All Content

[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
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[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
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[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
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[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 ·
[2603.03330] Certainty robustness: Evaluating LLM stability under self-challenging prompts
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[2603.03330] Certainty robustness: Evaluating LLM stability under self-challenging prompts

Abstract page for arXiv paper 2603.03330: Certainty robustness: Evaluating LLM stability under self-challenging prompts

arXiv - AI · 3 min ·
[2603.03329] AutoHarness: improving LLM agents by automatically synthesizing a code harness
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[2603.03329] AutoHarness: improving LLM agents by automatically synthesizing a code harness

Abstract page for arXiv paper 2603.03329: AutoHarness: improving LLM agents by automatically synthesizing a code harness

arXiv - AI · 4 min ·
[2603.03328] StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
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[2603.03328] StructLens: A Structural Lens for Language Models via Maximum Spanning Trees

Abstract page for arXiv paper 2603.03328: StructLens: A Structural Lens for Language Models via Maximum Spanning Trees

arXiv - AI · 3 min ·
[2603.03326] Controllable and explainable personality sliders for LLMs at inference time
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[2603.03326] Controllable and explainable personality sliders for LLMs at inference time

Abstract page for arXiv paper 2603.03326: Controllable and explainable personality sliders for LLMs at inference time

arXiv - AI · 3 min ·
[2603.03325] IntPro: A Proxy Agent for Context-Aware Intent Understanding via Retrieval-conditioned Inference
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[2603.03325] IntPro: A Proxy Agent for Context-Aware Intent Understanding via Retrieval-conditioned Inference

Abstract page for arXiv paper 2603.03325: IntPro: A Proxy Agent for Context-Aware Intent Understanding via Retrieval-conditioned Inference

arXiv - Machine Learning · 4 min ·
[2603.03324] Controlling Chat Style in Language Models via Single-Direction Editing
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[2603.03324] Controlling Chat Style in Language Models via Single-Direction Editing

Abstract page for arXiv paper 2603.03324: Controlling Chat Style in Language Models via Single-Direction Editing

arXiv - AI · 3 min ·
[2603.03323] Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement
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[2603.03323] Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement

Abstract page for arXiv paper 2603.03323: Discern Truth from Falsehood: Reducing Over-Refusal via Contrastive Refinement

arXiv - AI · 3 min ·
[2603.03322] Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery
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[2603.03322] Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Discovery

Abstract page for arXiv paper 2603.03322: Can Large Language Models Derive New Knowledge? A Dynamic Benchmark for Biological Knowledge Di...

arXiv - AI · 4 min ·
[2603.03321] DIALEVAL: Automated Type-Theoretic Evaluation of LLM Instruction Following
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[2603.03321] DIALEVAL: Automated Type-Theoretic Evaluation of LLM Instruction Following

Abstract page for arXiv paper 2603.03321: DIALEVAL: Automated Type-Theoretic Evaluation of LLM Instruction Following

arXiv - AI · 3 min ·
[2603.03389] Towards Improved Sentence Representations using Token Graphs
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[2603.03389] Towards Improved Sentence Representations using Token Graphs

Abstract page for arXiv paper 2603.03389: Towards Improved Sentence Representations using Token Graphs

arXiv - Machine Learning · 4 min ·
[2603.03320] From We to Me: Theory Informed Narrative Shift with Abductive Reasoning
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[2603.03320] From We to Me: Theory Informed Narrative Shift with Abductive Reasoning

Abstract page for arXiv paper 2603.03320: From We to Me: Theory Informed Narrative Shift with Abductive Reasoning

arXiv - AI · 3 min ·
[2603.03319] Automated Concept Discovery for LLM-as-a-Judge Preference Analysis
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[2603.03319] Automated Concept Discovery for LLM-as-a-Judge Preference Analysis

Abstract page for arXiv paper 2603.03319: Automated Concept Discovery for LLM-as-a-Judge Preference Analysis

arXiv - AI · 4 min ·
[2603.03378] AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis
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[2603.03378] AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis

Abstract page for arXiv paper 2603.03378: AOI: Turning Failed Trajectories into Training Signals for Autonomous Cloud Diagnosis

arXiv - Machine Learning · 4 min ·
[2603.03318] Quantum-Inspired Self-Attention in a Large Language Model
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[2603.03318] Quantum-Inspired Self-Attention in a Large Language Model

Abstract page for arXiv paper 2603.03318: Quantum-Inspired Self-Attention in a Large Language Model

arXiv - AI · 3 min ·
[2603.03314] Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO
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[2603.03314] Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO

Abstract page for arXiv paper 2603.03314: Towards Self-Robust LLMs: Intrinsic Prompt Noise Resistance via CoIPO

arXiv - Machine Learning · 4 min ·
[2603.03313] How does fine-tuning improve sensorimotor representations in large language models?
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[2603.03313] How does fine-tuning improve sensorimotor representations in large language models?

Abstract page for arXiv paper 2603.03313: How does fine-tuning improve sensorimotor representations in large language models?

arXiv - AI · 3 min ·
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