HuggingFace
Constitutional Midtraining: Content Presence Drives Alignment Gains
Post-training alignment is often shallow, eroding under fine-tuning. Whether midtraining interventions, cleanly isola...
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arXiv
ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation
Standard AI-text detection benchmarks compare human-written text against text generated directly by large language mo...
arXiv
AMTFV: Agentic Mathematical Tool-Flow Verification for LLM Self-Correction
Large language models have demonstrated strong mathematical problem-solving capabilities, yet reliably verifying thei...
arXiv
COntExt: Towards Context-Aware Ontology Extension from Operational Metrics
Organizations increasingly define operational metrics in structured, machine-readable formats to monitor systems, pro...
arXiv
LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback
Reinforcement Learning (RL) systems are typically trained using a single, well-specified scalar reward function. Howe...
arXiv
MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models
Symbolic Regression (SR) aims to discover analytical equations from observational data and plays a central role in sc...
arXiv
DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat
Games and simulators make valuable benchmarks by turning decisions into measurable outcomes, but many current suites ...
arXiv
TraceViT: Grounded Trace Supervision for Visual Abstract Reasoning
The Abstraction and Reasoning Corpus (ARC) tests whether a model can infer an unseen transformation from a few input-...
arXiv
FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models
Reading a social situation often depends on behavior, not words alone. We introduce FriendBench, a benchmark for infe...
arXiv
A Human-Centered Validation of the Explainability-Performance Coefficient
The rapid adoption of deep learning models in high-risk domains has intensified the need for trustworthy Explainable ...
arXiv
When Does On-Policy Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning
Imitation learning (IL)---training an agent to replicate expert behavior from demonstrations---underpins applications...
arXiv
CENDRe: Concept Extraction with Natural Domain Representations
Convolutional neural networks (CNNs) are widely used for time-series classification, but their deployment in critical...