Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

We built something ChatGPT doesn't do — AI that delivers results, not answers

Most AI gives you text. We built cards. Here's what I mean. When you ask LookMood Agent to find you a job, you don't get advice on where ...

Reddit - Artificial Intelligence · 1 min ·
Llms

I am not an "anti" like this guy, but still an interesting video of person interacting with chat 4o

(Posting Here because removed by Chatgpt Complaints moderators because the model here is 4o, and refuse to believe there were any safety ...

Reddit - Artificial Intelligence · 1 min ·
Llms

We built a way for two people's AI context to talk to each other (without sharing their conversations)

We've been thinking about how we use AI in our relationships. Big part of it is about other people. Talking about them, figuring out what...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning
Llms

[2603.02266] When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning

Abstract page for arXiv paper 2603.02266: When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware ...

arXiv - AI · 4 min ·
[2603.02262] Silent Sabotage During Fine-Tuning: Few-Shot Rationale Poisoning of Compact Medical LLMs
Llms

[2603.02262] Silent Sabotage During Fine-Tuning: Few-Shot Rationale Poisoning of Compact Medical LLMs

Abstract page for arXiv paper 2603.02262: Silent Sabotage During Fine-Tuning: Few-Shot Rationale Poisoning of Compact Medical LLMs

arXiv - Machine Learning · 3 min ·
[2603.02951] CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning
Llms

[2603.02951] CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning

Abstract page for arXiv paper 2603.02951: CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning

arXiv - Machine Learning · 4 min ·
[2603.02938] Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models
Llms

[2603.02938] Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models

Abstract page for arXiv paper 2603.02938: Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large L...

arXiv - AI · 4 min ·
[2603.02913] Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
Llms

[2603.02913] Eliciting Numerical Predictive Distributions of LLMs Without Autoregression

Abstract page for arXiv paper 2603.02913: Eliciting Numerical Predictive Distributions of LLMs Without Autoregression

arXiv - AI · 3 min ·
[2603.02840] Adapting Time Series Foundation Models through Data Mixtures
Llms

[2603.02840] Adapting Time Series Foundation Models through Data Mixtures

Abstract page for arXiv paper 2603.02840: Adapting Time Series Foundation Models through Data Mixtures

arXiv - Machine Learning · 4 min ·
[2603.02792] From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors
Llms

[2603.02792] From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors

Abstract page for arXiv paper 2603.02792: From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors

arXiv - Machine Learning · 3 min ·
[2603.02675] From Shallow to Deep: Pinning Semantic Intent via Causal GRPO
Llms

[2603.02675] From Shallow to Deep: Pinning Semantic Intent via Causal GRPO

Abstract page for arXiv paper 2603.02675: From Shallow to Deep: Pinning Semantic Intent via Causal GRPO

arXiv - Machine Learning · 3 min ·
[2504.21023] Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
Llms

[2504.21023] Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost

Abstract page for arXiv paper 2504.21023: Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost

arXiv - AI · 4 min ·
[2603.03258] Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals
Llms

[2603.03258] Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals

Abstract page for arXiv paper 2603.03258: Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals

arXiv - AI · 4 min ·
[2603.02635] SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety
Llms

[2603.02635] SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety

Abstract page for arXiv paper 2603.02635: SaFeR-ToolKit: Structured Reasoning via Virtual Tool Calling for Multimodal Safety

arXiv - Machine Learning · 4 min ·
[2603.03242] Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals
Llms

[2603.03242] Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals

Abstract page for arXiv paper 2603.03242: Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals

arXiv - AI · 4 min ·
[2603.02630] MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
Llms

[2603.02630] MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks

Abstract page for arXiv paper 2603.02630: MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks

arXiv - AI · 4 min ·
[2603.03233] AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework
Llms

[2603.03233] AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework

Abstract page for arXiv paper 2603.03233: AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework

arXiv - AI · 4 min ·
[2603.03203] No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models
Llms

[2603.03203] No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models

Abstract page for arXiv paper 2603.03203: No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Langu...

arXiv - AI · 3 min ·
[2603.02604] Heterogeneous Agent Collaborative Reinforcement Learning
Llms

[2603.02604] Heterogeneous Agent Collaborative Reinforcement Learning

Abstract page for arXiv paper 2603.02604: Heterogeneous Agent Collaborative Reinforcement Learning

arXiv - Machine Learning · 3 min ·
[2603.03175] Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification
Llms

[2603.03175] Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification

Abstract page for arXiv paper 2603.03175: Saarthi for AGI: Towards Domain-Specific General Intelligence for Formal Verification

arXiv - AI · 4 min ·
[2603.03147] Agentic AI-based Coverage Closure for Formal Verification
Llms

[2603.03147] Agentic AI-based Coverage Closure for Formal Verification

Abstract page for arXiv paper 2603.03147: Agentic AI-based Coverage Closure for Formal Verification

arXiv - AI · 3 min ·
[2603.03080] Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable Recommendation
Llms

[2603.03080] Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable Recommendation

Abstract page for arXiv paper 2603.03080: Beyond Factual Correctness: Mitigating Preference-Inconsistent Explanations in Explainable Reco...

arXiv - AI · 3 min ·
[2603.03116] Beyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware Evaluation
Llms

[2603.03116] Beyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware Evaluation

Abstract page for arXiv paper 2603.03116: Beyond Task Completion: Revealing Corrupt Success in LLM Agents through Procedure-Aware Evaluation

arXiv - AI · 4 min ·
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