TELLME: Test-Enhanced Learning for Language Model Enrichment
arXiv:2608.11788v1 Announce Type: cross Abstract: Continual pre-training (CPT) has been widely adopted as a method for domain adaptation in large…
Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse
arXiv:2608.10810v2 Announce Type: replace-cross Abstract: Emotion understanding in discourse requires reasoning beyond surface sentiment because speakers often convey affect through…
Closed-Loop LLM Co-Pilots for Digital Agriculture
arXiv:2608.09949v1 Announce Type: new Abstract: This study evaluates the application of Large Language Models (LLMs) in complex biological systems, evolving…
ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models
arXiv:2608.09548v2 Announce Type: replace-cross Abstract: Large language models are increasingly deployed in education as tutors, teaching assistants, and content generators.…
Smart Enough to Go Extinct? An Evolutionary Challenge to the Value of General Intelligence and Its Ethical Implications for AGI
arXiv:2608.10730v1 Announce Type: cross Abstract: The pursuit of artificial general intelligence (AGI) rests on a seemingly self-evident premise: that general…
Optimal Stopping of Self-Refining Foundation Models
arXiv:2608.10729v1 Announce Type: cross Abstract: Foundation models can improve their outputs through a self-refinement process driven by external feedback. In…
SpeedTuning: Speeding Up Policy Execution with Lightweight Reinforcement Learning
arXiv:2608.09138v2 Announce Type: replace-cross Abstract: While learned robotic policies hold promise for advancing generalizable manipulation, their practical deployment is often…
Towards an Argumentative Foundation for Evaluative AI
arXiv:2608.07473v1 Announce Type: new Abstract: Evaluative AI (EAI) has been recently proposed as a way to support human decision-making, not…
SCALE: Scientific Concept Aggregation via LLMs and Embeddings for Fine-Grained Taxonomy Extension
arXiv:2608.07254v2 Announce Type: replace-cross Abstract: The increasing specialization of scientific research challenges existing classification systems, which provide effective representations of…
Do AI Forecast Ensembles Sample the Correct Conditional Distribution?
arXiv:2608.08954v1 Announce Type: cross Abstract: Ensemble forecasting aims to sample the conditional distribution of outcomes; whether AI forecast ensembles do…