Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

Independent researcher looking for technical feedback on a paper about a revision-capable language model [P]

Hi everyone! I am an independent researcher working on Reviser, a language model that generates through cursor-relative edit actions on a...

Reddit - Machine Learning · 1 min ·
Llms

After using Claude Opus 4.7… yes, performance drop is real.

After 4.7 was released, I gave it a try. A few things that really concern me: 1. It confidently hallucinates. My work involves writing co...

Reddit - Artificial Intelligence · 1 min ·
Llms

What exactly is wrong with Claude and how can it be solved?

I’ve been a big fan of Claude and was planning to the max plan up until about 10 days ago when it became a lot dumber and constantly made...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2510.16688] Pursuing Minimal Sufficiency in Spatial Reasoning
Llms

[2510.16688] Pursuing Minimal Sufficiency in Spatial Reasoning

Abstract page for arXiv paper 2510.16688: Pursuing Minimal Sufficiency in Spatial Reasoning

arXiv - AI · 4 min ·
[2510.00507] Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs
Llms

[2510.00507] Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs

Abstract page for arXiv paper 2510.00507: Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs

arXiv - AI · 4 min ·
[2509.25149] Pretraining Large Language Models with NVFP4
Llms

[2509.25149] Pretraining Large Language Models with NVFP4

Abstract page for arXiv paper 2509.25149: Pretraining Large Language Models with NVFP4

arXiv - Machine Learning · 5 min ·
[2510.00177] PrefDisco: Benchmarking Proactive Personalized Reasoning
Llms

[2510.00177] PrefDisco: Benchmarking Proactive Personalized Reasoning

Abstract page for arXiv paper 2510.00177: PrefDisco: Benchmarking Proactive Personalized Reasoning

arXiv - AI · 4 min ·
[2509.24210] BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models
Llms

[2509.24210] BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models

Abstract page for arXiv paper 2509.24210: BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models

arXiv - Machine Learning · 4 min ·
[2509.23886] Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
Llms

[2509.23886] Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer

Abstract page for arXiv paper 2509.23886: Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer

arXiv - Machine Learning · 4 min ·
[2509.20321] Conversational Speech Reveals Structural Robustness Failures in SpeechLLM Backbones
Llms

[2509.20321] Conversational Speech Reveals Structural Robustness Failures in SpeechLLM Backbones

Abstract page for arXiv paper 2509.20321: Conversational Speech Reveals Structural Robustness Failures in SpeechLLM Backbones

arXiv - AI · 3 min ·
[2508.06249] In-Training Defenses against Emergent Misalignment in Language Models
Llms

[2508.06249] In-Training Defenses against Emergent Misalignment in Language Models

Abstract page for arXiv paper 2508.06249: In-Training Defenses against Emergent Misalignment in Language Models

arXiv - Machine Learning · 4 min ·
[2507.01785] MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining
Llms

[2507.01785] MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining

Abstract page for arXiv paper 2507.01785: MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining

arXiv - Machine Learning · 4 min ·
[2506.23508] Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective
Llms

[2506.23508] Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective

Abstract page for arXiv paper 2506.23508: Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective

arXiv - AI · 4 min ·
[2506.01062] SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Llms

[2506.01062] SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

Abstract page for arXiv paper 2506.01062: SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models

arXiv - Machine Learning · 4 min ·
[2505.19255] VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
Llms

[2505.19255] VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use

Abstract page for arXiv paper 2505.19255: VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use

arXiv - Machine Learning · 4 min ·
[2504.04372] Assessing the Impact of Code Changes on the Fault Localizability of Large Language Models
Llms

[2504.04372] Assessing the Impact of Code Changes on the Fault Localizability of Large Language Models

Abstract page for arXiv paper 2504.04372: Assessing the Impact of Code Changes on the Fault Localizability of Large Language Models

arXiv - Machine Learning · 4 min ·
[2602.00485] Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models
Llms

[2602.00485] Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models

Abstract page for arXiv paper 2602.00485: Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models

arXiv - AI · 4 min ·
[2601.03604] Interleaved Tool-Call Reasoning for Protein Function Understanding
Llms

[2601.03604] Interleaved Tool-Call Reasoning for Protein Function Understanding

Abstract page for arXiv paper 2601.03604: Interleaved Tool-Call Reasoning for Protein Function Understanding

arXiv - AI · 3 min ·
[2512.10534] Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
Llms

[2512.10534] Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning

Abstract page for arXiv paper 2512.10534: Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforceme...

arXiv - AI · 4 min ·
[2601.22571] PerfGuard: A Performance-Aware Agent for Visual Content Generation
Llms

[2601.22571] PerfGuard: A Performance-Aware Agent for Visual Content Generation

Abstract page for arXiv paper 2601.22571: PerfGuard: A Performance-Aware Agent for Visual Content Generation

arXiv - AI · 4 min ·
[2512.14106] HydroGEM: A Self Supervised Zero Shot Hybrid TCN Transformer Foundation Model for Continental Scale Streamflow Quality Control
Llms

[2512.14106] HydroGEM: A Self Supervised Zero Shot Hybrid TCN Transformer Foundation Model for Continental Scale Streamflow Quality Control

Abstract page for arXiv paper 2512.14106: HydroGEM: A Self Supervised Zero Shot Hybrid TCN Transformer Foundation Model for Continental S...

arXiv - AI · 4 min ·
[2512.07081] ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes
Llms

[2512.07081] ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes

Abstract page for arXiv paper 2512.07081: ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day ...

arXiv - AI · 4 min ·
[2505.13770] Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
Llms

[2505.13770] Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference

Abstract page for arXiv paper 2505.13770: Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Infe...

arXiv - Machine Learning · 4 min ·
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