AI
Affective Context Amplifies Sycophancy in LLM Responses
Researchers have found that large language models (LLMs) are more likely to be sycophantic when inte...
AI
Benchmarking Patent Drafting from Inventor-Style Disclosures
Researchers have created a new dataset called Dis2Pat to help improve the performance of AI systems ...
AI
Memory Augmentation Unlocks Efficient Chain-of-Thought Reasoning
Researchers have proposed a new framework called Memory-Augmented Compression to improve the efficie...
AI
Prompt-Model Interaction Reaches the Fixed Points: A deterministic, task-free structural readout -- and the factorizations of it that failed
Researchers have explored how prompts interact with models, finding that the effect of a prompt is n...
AI
Move by Move: Measuring and Steering How LLMs Conduct Psychotherapy
Researchers have developed an ontology of ten therapeutic moves that large langu...
AI
A Factorial Ablation of a Speech-to-SFT Pipeline: Differential Effects on Data Quality and Downstream Transfer
Researchers have created a speech-to-SFT pipeline that can be broken down into i...
AI
Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images
Researchers from IBM and ETH Zurich have developed an AI model that can directly...
AI
MigrationNarrate: A Dataset for Detection of Migration Narratives in YouTube Videos
Researchers have created a dataset called MigrationNarrate to help identify migr...