arXiv:2608. 06955v1 Announce Type: new Abstract: Large language models (LLMs) are trained on corpora that contain expressions of human judgment about films, books, music, and more.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.
The paper investigates how large language models (LLMs) express subjective preferences in short-form content such as numbers, baby names, and fictional cities. It identifies 29 aspects (e.g., length, alphabetic order, popularity) that influence model choices and shows that these preferences are strong, reproducible, and sensitive to how questions are phrased. The study also reveals that the interaction between generating alternatives and ranking them can produce unexpected preference patterns, raising concerns about potential manipulation.
arXiv:2606. 02883v1 Announce Type: cross Abstract: Recommender systems have grown from content-organization tools into sophisticated systems that shape daily behavior.
Typed decision models provide structured choices, scores, and probabilities for low‑cost automated evaluation. In a controlled audit across Jev, Clef Flash, and Perplexity Decider, the study examined how presentation factors—such as item position, identifiers, authorship claims, endorsements, decision framing, and rating rubrics—affect judgments on humor, helpfulness, and summarization tasks. Results show significant shifts in probability advantages, selected humor texts, and agreement with human preferences, indicating that presentation robustness, repeatability, and human alignment are distinct evaluator properties that must be validated.
arXiv:2608.21430v1 Announce Type: new Abstract: Multimodal language models increasingly show promise for enabling the large-scale computational analysis of film, opening up new avenues for learning a...
arXiv:2610.35254v1 Announce Type: new Abstract: The number of paper submissions to major AI conferences has increased dramatically in recent years, substantially increasing the peer-review workload o...
The number of paper submissions to major AI conferences has increased dramatically in recent years, substantially increasing the peer-review workload of researchers. At the same time, large language m...