Cover Image

Unsupervised Acquisition of Discrete Grammatical Categories

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shakouri, David Ph., Cremers, Crit, Schiller, Niels O.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning Multiagent Systems I.2.6; I.2.7; J.5
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Knowledge-Based Language Model: Deducing Grammatical Knowledge in a Multi-Agent Language Acquisition Simulation
by: Shakouri, David Ph., et al.
Published: (2025)

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows
by: Gao, Yuxuan, et al.
Published: (2026)

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
by: Patel, Hitesh Laxmichand, et al.
Published: (2025)

Benefits and Limitations of Communication in Multi-Agent Reasoning
by: Rizvi-Martel, Michael, et al.
Published: (2025)

Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
by: Sharma, Anika, et al.
Published: (2025)

The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete
by: Großmann, Gerrit, et al.
Published: (2025)

Towards More Human-like AI Communication: A Review of Emergent Communication Research
by: Brandizzi, Nicolo'
Published: (2023)

Subword-Based Comparative Linguistics across 242 Languages Using Wikipedia Glottosets
by: Chelombitko, Iaroslav, et al.
Published: (2026)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

RPRA: Predicting an LLM-Judge for Efficient but Performant Inference
by: Ashley, Dylan R., et al.
Published: (2026)

Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMs
by: Manczak, Blazej, et al.
Published: (2025)

Grammatically-Guided Sparse Attention for Efficient and Interpretable Transformers
by: Pratyush, Spandan
Published: (2026)

When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD
by: Mandal, Paul K.
Published: (2025)

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
by: Kajare, Prajwal Vijay, et al.
Published: (2026)

propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale
by: Idahl, Maximilian, et al.
Published: (2026)

Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
by: Gonzalez, Alberto Andres Valdes
Published: (2026)

Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints
by: Reddy, Sandeep, et al.
Published: (2025)

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports
by: Guluzade, Aynur, et al.
Published: (2025)

Evaluating Large Language Models for IUCN Red List Species Information
by: Uryu, Shinya
Published: (2025)

Categorical Perception in Large Language Model Hidden States: Structural Warping at Digit-Count Boundaries
by: Cacioli, Jon-Paul
Published: (2026)

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems
by: Berman, Shmuel, et al.
Published: (2024)

When Gradients Collide: Failure Modes of Multi-Objective Prompt Optimization for LLM Judges
by: Darshan, Parth, et al.
Published: (2026)

Pioneer Agent: Continual Improvement of Small Language Models in Production
by: Atreja, Dhruv, et al.
Published: (2026)

Ask WhAI:Probing Belief Formation in Role-Primed LLM Agents
by: Moore, Keith, et al.
Published: (2025)

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization
by: Wen, Yuqiao, et al.
Published: (2025)

The Rise of Verbal Tics in Large Language Models: A Systematic Analysis Across Frontier Models
by: Wu, Shuai, et al.
Published: (2026)

BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
by: Hsu, Brian, et al.
Published: (2026)

Model selection meets clinical semantics: Optimizing ICD-10-CM prediction via LLM-as-Judge evaluation, redundancy-aware sampling, and section-aware fine-tuning
by: Dai, Hong-Jie, et al.
Published: (2025)

Sample-Efficient Language Model for Hinglish Conversational AI
by: Singh, Sakshi, et al.
Published: (2025)

PAVE: A Cognitive Architecture for Legitimate Violation in Generative Agent Societies
by: Yehia, Ahmad, et al.
Published: (2026)

Self-Emotion Blended Dialogue Generation in Social Simulation Agents
by: Zhang, Qiang, et al.
Published: (2024)

LLM attribution analysis across different fine-tuning strategies and model scales for automated code compliance
by: Shi, Jack Wei Lun, et al.
Published: (2026)

Conversational No-code, Multi-agentic Disease Module Identification and Drug Repurposing Prediction with ChatDRex
by: Süwer, Simon, et al.
Published: (2025)

Mixed-Initiative Dialog for Human-Robot Collaborative Manipulation
by: Yu, Albert, et al.
Published: (2025)

Step-Audio-R1 Technical Report
by: Tian, Fei, et al.
Published: (2025)

The Qualitative Laboratory: Theory Prototyping and Hypothesis Generation with Large Language Models
by: Draelants, Hugues
Published: (2025)

Continuous Latent Contexts Enable Efficient Online Learning in Transformers
by: Anand, Emile, et al.
Published: (2026)

Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment
by: Jabal, Mohamed Sobhi, et al.
Published: (2026)

Analysis of LLM as a grammatical feature tagger for African American English
by: Porwal, Rahul, et al.
Published: (2025)

ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model
by: Pospieszny, Przemek, et al.
Published: (2025)