:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jacobs, Cassandra L., Buxó-Lugo, Andrés, Taylor, Anna K., Leopold-Hooke, Marie
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2512.23659
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the scaling relationship between cloze probabilities and language model next-token prediction
by: Jacobs, Cassandra L., et al.
Published: (2026)

Large-scale cloze evaluation reveals that token prediction tasks are neither lexically nor semantically aligned
by: Jacobs, Cassandra L., et al.
Published: (2024)

Subword Tokenization Strategies for Kurdish Word Embeddings
by: Salehi, Ali, et al.
Published: (2025)

The distribution of discourse relations within and across turns in spontaneous conversation
by: Cortez, S. Magalí López, et al.
Published: (2023)

A Bayesian account of pronoun and neopronoun acquisition
by: Jacobs, Cassandra L., et al.
Published: (2025)

Less is more: Not all samples are effective for evaluation
by: Song, Wentang, et al.
Published: (2025)

Assessing the Ability of Neural TTS Systems to Model Consonant-Induced F0 Perturbation
by: Yang, Tianle, et al.
Published: (2026)

Toward best research practices in AI Psychology
by: Ivanova, Anna A.
Published: (2023)

GPT-4 is judged more human than humans in displaced and inverted Turing tests
by: Rathi, Ishika, et al.
Published: (2024)

Towards a Benchmark for Large Language Models for Business Process Management Tasks
by: Busch, Kiran, et al.
Published: (2024)

Sustainable self-supervised learning for speech representations
by: Lugo, Luis, et al.
Published: (2024)

Accurate Knowledge Distillation with n-best Reranking
by: Setiawan, Hendra
Published: (2023)

Less Data Less Tokens: Multilingual Unification Learning for Efficient Test-Time Reasoning in LLMs
by: Chen, Kang, et al.
Published: (2025)

Humans and LLMs Diverge on Probabilistic Inferences
by: Kamath, Gaurav, et al.
Published: (2026)

LoRA Learns Less and Forgets Less
by: Biderman, Dan, et al.
Published: (2024)

Does Less Hallucination Mean Less Creativity? An Empirical Investigation in LLMs
by: Banerjee, Mohor, et al.
Published: (2025)

Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
by: Zhang, Chenyuan, et al.
Published: (2026)

More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play
by: Wongkamjan, Wichayaporn, et al.
Published: (2024)

Who is bragging more online? A large scale analysis of bragging in social media
by: Jin, Mali, et al.
Published: (2024)

Language models and brains align due to more than next-word prediction and word-level information
by: Merlin, Gabriele, et al.
Published: (2022)

Application of integrated gradients explainability to sociopsychological semantic markers
by: Aghababaei, Ali, et al.
Published: (2025)

Graded strength of comparative illusions is explained by Bayesian inference
by: Zhang, Yuhan, et al.
Published: (2025)

LIMO: Less is More for Reasoning
by: Ye, Yixin, et al.
Published: (2025)

An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability
by: Herrera-Poyatos, David, et al.
Published: (2025)

Logistic Regression makes small LLMs strong and explainable "tens-of-shot" classifiers
by: Buckmann, Marcus, et al.
Published: (2024)

OCR Error Post-Correction with LLMs in Historical Documents: No Free Lunches
by: Kanerva, Jenna, et al.
Published: (2025)

Verbalizing LLMs' assumptions to explain and control sycophancy
by: Cheng, Myra, et al.
Published: (2026)

Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media
by: Mets, Mark, et al.
Published: (2023)

Towards Probabilistically-Sound Beam Search with Masked Language Models
by: Brooks, Creston, et al.
Published: (2024)

Less is More: The Effectiveness of Compact Typological Language Representations
by: Ng, York Hay, et al.
Published: (2025)

ELITE: Embedding-Less retrieval with Iterative Text Exploration
by: Wang, Zhangyu, et al.
Published: (2025)

Hint Tuning: Less Data Makes Better Reasoners
by: Fan, Siqi, et al.
Published: (2026)

Less is More for Long Document Summary Evaluation by LLMs
by: Wu, Yunshu, et al.
Published: (2023)

BatchPrompt: Accomplish more with less
by: Lin, Jianzhe, et al.
Published: (2023)

Probabilistic Programs of Thought
by: Garg, Poorva, et al.
Published: (2026)

Multilingual acoustic word embeddings for zero-resource languages
by: Jacobs, Christiaan
Published: (2024)

Theoretical guarantees on the best-of-n alignment policy
by: Beirami, Ahmad, et al.
Published: (2024)

Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models
by: Chrabąszcz, Maciej, et al.
Published: (2025)

Language Models Grow Less Humanlike beyond Phase Transition
by: Aoyama, Tatsuya, et al.
Published: (2025)

Pensez: Less Data, Better Reasoning -- Rethinking French LLM
by: Ha, Huy Hoang
Published: (2025)