Copertina

The Emergence of Grammar through Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wechsler, Stephen, Shearer, James W., Erk, Katrin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Information Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Local Grammar-Based Coding Revisited
di: Dębowski, Łukasz
Pubblicazione: (2022)

Adjusting Interpretable Dimensions in Embedding Space with Human Judgments
di: Erk, Katrin, et al.
Pubblicazione: (2024)

Scene Abstraction for Lexical Semantics: Structured Representations of Situated Meaning
di: Cho, Yejin, et al.
Pubblicazione: (2026)

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking
di: Vinod, Ashwin, et al.
Pubblicazione: (2026)

Seq2Seq2Seq: Lossless Data Compression via Discrete Latent Transformers and Reinforcement Learning
di: Khodabandeh, Mahdi, et al.
Pubblicazione: (2026)

HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification
di: Zhu, He, et al.
Pubblicazione: (2024)

Interpretable dimensions support an effect of agentivity and telicity on split intransitivity
di: Neu, Eva, et al.
Pubblicazione: (2025)

SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events
di: Vallurupalli, Sai, et al.
Pubblicazione: (2024)

A Mathematical Theory for Learning Semantic Languages by Abstract Learners
di: Liao, Kuo-Yu, et al.
Pubblicazione: (2024)

X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
di: Rodriguez, Juan Diego, et al.
Pubblicazione: (2023)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
di: Chen, Yiqun, et al.
Pubblicazione: (2025)

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
di: Wang, Xihang, et al.
Pubblicazione: (2026)

Clarifying orthography: Orthographic transparency as compressibility
di: Torres, Charles J., et al.
Pubblicazione: (2025)

Speculative Sampling via Exponential Races
di: Kobus, Szymon, et al.
Pubblicazione: (2025)

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders
di: Kuznetsov, Kristian, et al.
Pubblicazione: (2025)

The time scale of redundancy between prosody and linguistic context
di: Regev, Tamar I., et al.
Pubblicazione: (2025)

Quantifying the perceptual value of lexical and non-lexical channels in speech
di: Wallbridge, Sarenne, et al.
Pubblicazione: (2023)

When Efficient Communication Explains Convexity
di: Ranjan, Ashvin, et al.
Pubblicazione: (2026)

The optimality of word lengths. Theoretical foundations and an empirical study
di: Petrini, Sonia, et al.
Pubblicazione: (2022)

TexShape: Information Theoretic Sentence Embedding for Language Models
di: Kale, Kaan, et al.
Pubblicazione: (2024)

Linguistic Structure from a Bottleneck on Sequential Information Processing
di: Futrell, Richard, et al.
Pubblicazione: (2024)

Nacrith: Neural Lossless Compression via Ensemble Context Modeling and High-Precision CDF Coding
di: Tacconelli, Roberto
Pubblicazione: (2026)

Quantification and Validation for Degree of Understanding in M2M Semantic Communications
di: Xia, Linhan, et al.
Pubblicazione: (2024)

A geometric framework for interstellar discourse on fundamental physical structures
di: Esposito, Giampiero, et al.
Pubblicazione: (2024)

Optimal Multi-bit Generative Watermarking Schemes Under Worst-Case False-Alarm Constraints
di: Huang, Yu-Shin, et al.
Pubblicazione: (2026)

An information-theoretic model of shallow and deep language comprehension
di: Li, Jiaxuan, et al.
Pubblicazione: (2024)

Information Theory of Meaningful Communication
di: Sivan, Doron, et al.
Pubblicazione: (2024)

Decomposition of surprisal: Unified computational model of ERP components in language processing
di: Li, Jiaxuan, et al.
Pubblicazione: (2024)

Measuring Grammatical Diversity from Small Corpora: Derivational Entropy Rates, Mean Length of Utterances, and Annotation Invariance
di: Martin, Fermin Moscoso del Prado
Pubblicazione: (2024)

On Theoretical Interpretations of Concept-Based In-Context Learning
di: Tang, Huaze, et al.
Pubblicazione: (2025)

Enhancing Exploratory Learning through Exploratory Search with the Emergence of Large Language Models
di: Luo, Yiming, et al.
Pubblicazione: (2024)

Efficient Learned Data Compression via Dual-Stream Feature Decoupling
di: Ma, Huidong, et al.
Pubblicazione: (2026)

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
di: Hu, Dou, et al.
Pubblicazione: (2025)

Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
di: Kiruluta, Andrew
Pubblicazione: (2026)

Unraveling Syntax: How Language Models Learn Context-Free Grammars
di: Schulz, Laura Ying, et al.
Pubblicazione: (2025)

Semantic Soft Bootstrapping: Long Context Reasoning in LLMs without Reinforcement Learning
di: Mitra, Purbesh, et al.
Pubblicazione: (2025)

The Gray Area: Characterizing Moderator Disagreement on Reddit
di: Alipour, Shayan, et al.
Pubblicazione: (2026)

Repeated Sequences Reveal Gaps between Large Language Models and Natural Language
di: Tanaka-Ishii, Kumiko
Pubblicazione: (2026)

Compression of enumerations and gain
di: Barmpalias, George, et al.
Pubblicazione: (2023)

Detecting and Explaining (In-)equivalence of Context-Free Grammars
di: Schmellenkamp, Marko, et al.
Pubblicazione: (2024)