Writing for the Reviewer: Defensive Writing in GPT Models
Junchi Liao
#arXiv #cs.AI

On the Clock: Towards Punctual and Productive Time-Budgeted AI Agents
Aaron Wang et al.
#arXiv #cs.AI #cs.LG
GeoReform: Reflective Formalization Evolution for Multimodal Geometry Problem Solving
Jialu Wang et al.
#arXiv #cs.AI
A Structural Theory of Cognitive Representation and Problem Solving,Contexts, Invariance, and the Knowledge Space
Antal Jakov\'ac, Andr\'as Telcs
#arXiv #cs.AI
Use and Disuse: Intent-Structured Experience Consolidation for Memory and Learning in LLM Agents
Xiangyi Zeng et al.
#arXiv #cs.AI
Complexity of Grounded Semantics and Preferred Semantics in Finitary Argumentation Frameworks
Jinfan Xu, Jieting Luo
#arXiv #cs.AI #cs.LO
An Interpretable Approach to PDE Solution Discovery via Structural Experience Distillation
Yunpeng Gong et al.
#arXiv #cs.AI
Error-Propagation Modeling for Failure Attribution in LLM-Based Multi-Agent Systems
Jiaqi Liao et al.
#arXiv #cs.AI
Cognition-Oriented Emotion Tracing from Causes to Consequences in Real-World Social Scenes
Hao Li et al.
#arXiv #cs.AI
On the Clock: Towards Punctual and Productive Time-Budgeted AI Agents
Aaron Wang et al.
#arXiv #cs.AI #cs.LG
Searching for "Harmful Refusal": A Psychometric Audit of an AI Safety Benchmark
Christopher M. Stewart et al.
#arXiv #cs.AI
HANS: A Handwritten Answer Sheet Dataset for Noisy Hybrid Document Parsing
Xiazhen Wu et al.
#arXiv #cs.AI #cs.CV
Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition
Kaisen Yang et al.
#arXiv #cs.AI #cs.CL
When Has a Bayesian Neural Network Sampled Enough? Adaptive Inference Time with Statistical Guarantees
Fabian Denoodt, Sibylle Hess
#arXiv #cs.AI