arXiv Artificial IntelligenceCommit-first LLM judging inherits the judge's own errors
arXiv:2609.00088v1 Announce Type: cross Abstract: LLM judges, models that score another system's output, can…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceRetrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation
arXiv:2609.00086v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as…
arXiv Artificial IntelligenceKItCAT: Knowledge Injection via Input Corruption for Auto-regressive Training
arXiv:2609.00082v1 Announce Type: cross Abstract: LLMs acquire vast amounts of knowledge during pre-training…
arXiv Artificial IntelligenceRW-LoRA: Communication-Efficient Decentralized LoRA Fine-Tuning via Random Walks
arXiv:2609.00078v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning methods such as LoRA have…
arXiv Artificial IntelligenceAutoXRD: Autonomous LLM Agents and Comprehensive Evaluation for Powder Diffraction Analysis
arXiv:2609.00070v1 Announce Type: cross Abstract: Powder X-ray diffraction (XRD) is central to materials…
arXiv Artificial IntelligenceAuditing Harness Tampering in Self-Improving Agents
arXiv:2609.00069v1 Announce Type: cross Abstract: Self-improving agents iteratively modify their own harness…
arXiv Artificial IntelligenceLife Operators: a self-evolving framework for multiscale life modelling
arXiv:2609.00068v1 Announce Type: cross Abstract: Medical AI is moving beyond recognition towards clinical…
arXiv Artificial IntelligenceDo Multimodal LLMs See Before They Read? Diagnosing Contextual Sycophancy
arXiv:2609.00067v1 Announce Type: cross Abstract: External text can override conflicting image evidence in…
arXiv Artificial IntelligenceOCGQuant: Outlier-Companion Grouping for NVFP4 Quantization
arXiv:2609.00066v1 Announce Type: cross Abstract: NVFP4 is an efficient microscaling format for low-bit…
arXiv Artificial IntelligenceAttention Sensitivity Is Not Enough: Dissociating Attention-Level and Behavioural In-Context Learning under Fine-Tuning
arXiv:2609.00064v1 Announce Type: cross Abstract: In-context learning (ICL) lets large language models adapt…
arXiv Artificial IntelligenceMedical Causal Hypothesis Verification with Large Language Models
arXiv:2609.00063v1 Announce Type: cross Abstract: The growing use of large language models (LLMs) for search…
arXiv Artificial IntelligenceRePro: Proof-Verified Benchmark Rewriting for Reliable Evaluation of LLM Mathematical Problem Solving
arXiv:2609.00062v1 Announce Type: cross Abstract: Data contamination undermines the reliable evaluation of…
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