Copertina

The Geometric Price of Discrete Logic: Context-driven Manifold Dynamics of Number Representations

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Long, Lin, Dai-jun, Chen, Wei-neng
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Computation and Language Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Simulated Adoption: Decoupling Magnitude and Direction in LLM In-Context Conflict Resolution
di: Zhang, Long, et al.
Pubblicazione: (2026)

Authority Inversion in LLM-Mediated Ubiquitous Systems: When Models Trust Users Over Sensors
di: Zhang, Long, et al.
Pubblicazione: (2026)

Human-like Social Compliance in Large Language Models: Unifying Sycophancy and Conformity through Signal Competition Dynamics
di: Zhang, Long, et al.
Pubblicazione: (2025)

When Does a Language Model Commit? A Finite-Answer Theory of Pre-Verbalization Commitment
di: Zhang, Long, et al.
Pubblicazione: (2026)

Incorporating Graph Attention Mechanism into Geometric Problem Solving Based on Deep Reinforcement Learning
di: Zhong, Xiuqin, et al.
Pubblicazione: (2024)

From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards
di: Chehbouni, Khaoula, et al.
Pubblicazione: (2024)

Causal Manifold Fairness: Enforcing Geometric Invariance in Representation Learning
di: Rathore, Vidhi
Pubblicazione: (2026)

Unintended Impacts of LLM Alignment on Global Representation
di: Ryan, Michael J., et al.
Pubblicazione: (2024)

Representation Surgery: Theory and Practice of Affine Steering
di: Singh, Shashwat, et al.
Pubblicazione: (2024)

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
di: Hu, Jingyu, et al.
Pubblicazione: (2024)

Interpreting Latent Student Knowledge Representations in Programming Assignments
di: Fernandez, Nigel, et al.
Pubblicazione: (2024)

Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
di: Cunningham, Eoghan, et al.
Pubblicazione: (2025)

LIBRA: Measuring Bias of Large Language Model from a Local Context
di: Pang, Bo, et al.
Pubblicazione: (2025)

Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
di: Iskander, Shadi, et al.
Pubblicazione: (2024)

CALM: Culturally Self-Aware Language Models
di: Shen, Lingzhi, et al.
Pubblicazione: (2026)

ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
di: Wei, Shou'ang, et al.
Pubblicazione: (2025)

The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness
di: Sahoo, Subramanyam, et al.
Pubblicazione: (2026)

The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models
di: Cho, Seonglae, et al.
Pubblicazione: (2026)

Sentiment Analysis of Airbnb Reviews: Exploring Their Impact on Acceptance Rates and Pricing Across Multiple U.S. Regions
di: Safari, Ali
Pubblicazione: (2025)

Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents
di: Wu, Tao, et al.
Pubblicazione: (2025)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
di: Liu, Shuo, et al.
Pubblicazione: (2025)

A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
di: Arghal, Raghu, et al.
Pubblicazione: (2026)

Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks
di: Chen, Sirui, et al.
Pubblicazione: (2025)

Catalysts of Conversation: Examining Interaction Dynamics Between Topic Initiators and Commentors in Alzheimer's Disease Online Communities
di: Ni, Congning, et al.
Pubblicazione: (2024)

The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
di: Fleisig, Eve, et al.
Pubblicazione: (2024)

Selective Explanations
di: Paes, Lucas Monteiro, et al.
Pubblicazione: (2024)

Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
di: Simmons, Gabriel, et al.
Pubblicazione: (2024)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment
di: Borchers, Conrad, et al.
Pubblicazione: (2025)

Towards Explainable Evaluation Metrics for Machine Translation
di: Leiter, Christoph, et al.
Pubblicazione: (2023)

AppellateGen: A Benchmark for Appellate Legal Judgment Generation
di: Yang, Hongkun, et al.
Pubblicazione: (2026)

Datasets for Fairness in Language Models: An In-Depth Survey
di: Zhang, Jiale, et al.
Pubblicazione: (2025)

LatentQA: Teaching LLMs to Decode Activations Into Natural Language
di: Pan, Alexander, et al.
Pubblicazione: (2024)

Addressing Both Statistical and Causal Gender Fairness in NLP Models
di: Chen, Hannah, et al.
Pubblicazione: (2024)

Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation
di: Chien, Jennifer, et al.
Pubblicazione: (2024)

On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
di: Nguyen, Dang, et al.
Pubblicazione: (2025)

Customize Multi-modal RAI Guardrails with Precedent-based predictions
di: Yang, Cheng-Fu, et al.
Pubblicazione: (2025)

From Imitation to Introspection: Probing Self-Consciousness in Language Models
di: Chen, Sirui, et al.
Pubblicazione: (2024)

Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
di: Majumdar, Ayan, et al.
Pubblicazione: (2025)

Improving Academic Skills Assessment with NLP and Ensemble Learning
di: Huang, Xinyi, et al.
Pubblicazione: (2024)

Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
di: Feng, Duanyu, et al.
Pubblicazione: (2023)