Llms
The Day AI Stopped Being a Tab You Switch To — Claude Is Now Inside Your Software
submitted by /u/monotvtv [link] [comments]
Reddit - Artificial Intelligence
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1 min
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Large Language Models
GPT, Claude, Gemini, and other LLMs
Top This Week
Llms
How are LLMs 'corrected' when users identify them spreading misinformation or saying something harmful?
I watched Last Week Tonight's piece on AI chatbots today, and it got me thinking about that old screenshot of a Google search in which Ge...
Reddit - Artificial Intelligence
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1 min
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Llms
What is the scientific value of administering the standard Rorschach test to LLMs when the training data is almost certainly contaminated? (R) + [D]
A recent paper published in JMIR Mental Health (Csigó & Cserey, 2026) caught my attention. The researchers administered the 10 standa...
Reddit - Machine Learning
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1 min
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All Content
![[2603.03805] Relational In-Context Learning via Synthetic Pre-training with Structural Prior](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
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
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3 min
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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
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4 min
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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
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4 min
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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
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3 min
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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
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4 min
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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
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4 min
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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
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4 min
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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
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4 min
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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
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3 min
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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
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4 min
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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
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3 min
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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
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3 min
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Llms
[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
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4 min
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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
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3 min
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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
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4 min
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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 - AI
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4 min
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Llms
[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
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3 min
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Llms
[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
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4 min
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Llms
[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
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3 min
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Llms
[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
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3 min
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