newsReddit r/MachineLearningTrust 52 · CommunityPublished 1mo agoLive · 1mo ago
Evaluating J-space entropy as an error predictor across 7 datasets on Qwen3-4B [R]
Anthropic’s Jacobian Lens work introduced a way to inspect verbalizable representations inside language models. Follow-up experiments suggested that entropy in this internal “workspace” might help identify confidently incorrect answers. I tested that hypothesis on Qwen3-4B across ~11,400 examples from seven distinct datasets, including TriviaQA, PopQA, NQ-Open, TruthfulQA, HotpotQA, GSM8K, and CommonSenseQA. Three main findings: It can
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paperThe Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMspaperHeaviside Continuity of Rolling Coefficients for Eliminating Epistemic Entropy in Large Language ModelspaperWhen are likely answers right? On Sequence Probability and Correctness in LLMspaperHow Surprising Is Historical Italian to Language Models? Tokenization Tax, Comprehension Tax, and a Simple MitigationpaperEstimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs
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paperEmergent Misalignment Recruits a Pre-existing Persona SubspacepaperLocal and Global Regimes of Geometric Complexity in Language Model RepresentationspaperThinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot SeepaperOn the Threat Model of Weird Generalization and Emergent MisalignmentpaperWhen RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public CompaniespaperLosing My Composure: Predicting Compositionality Over TimepaperHow Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?paperWhen Words Are Safe But Actions Kill: Probing Physical Danger Beyond Text Safety in Hidden-State Risk SpacepaperHow Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLIpaperGotta Catch them all: the modes of SycophancypaperThe One-Word Census: Answer-Choice Conformity Across 44 Language ModelspaperThe Illusion of Robustness: Aggregate Accuracy Hides Prediction Flips under Task-Irrelevant ContextpaperGraded Entity-Familiarity Readouts in Language Models: Polish Adaptation, Cross-Language Robustness, and Refusal SteeringpaperThe Test Oracle Problem in Synthetic LLM-as-Judge Corpora: Disappearance, Distortion and a Validation ProtocolpaperLinear representations of grammaticality in neural language modelspaperAuditing Question-Order Effects in Large Language Models with the QQ Equality: Mechanism Characterization and a Saturation Caveat
Related across the graph
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