Cover Image

SimLM: Can Language Models Infer Parameters of Physical Systems?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Memery, Sean, Lapata, Mirella, Subr, Kartic
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence I.2.7; I.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discovering High Level Patterns from Simulation Traces
by: Memery, Sean, et al.
Published: (2026)

xInv: Explainable Optimization of Inverse Problems
by: Memery, Sean, et al.
Published: (2025)

CueTip: An Interactive and Explainable Physics-aware Pool Assistant
by: Memery, Sean, et al.
Published: (2025)

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

Machine Unlearning for Masked Diffusion Language Models
by: Lee, Georu, et al.
Published: (2026)

Can AI Read Between The Lines? Benchmarking LLMs On Financial Nuance
by: Kubica, Dominick, et al.
Published: (2025)

Truth as a Compression Artifact in Language Model Training
by: Krestnikov, Konstantin
Published: (2026)

Intention Collapse: Intention-Level Metrics for Reasoning in Language Models
by: Vera, Patricio
Published: (2026)

Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation
by: Bouchekif, Abdessalam, et al.
Published: (2025)

SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
by: Zhang, Yuxuan
Published: (2025)

MeMo: Towards Language Models with Associative Memory Mechanisms
by: Zanzotto, Fabio Massimo, et al.
Published: (2025)

Why Models Know But Don't Say: Chain-of-Thought Faithfulness Divergence Between Thinking Tokens and Answers in Open-Weight Reasoning Models
by: Young, Richard J.
Published: (2026)

RMGAP: Benchmarking the Generalization of Reward Models across Diverse Preferences
by: Zhou, Yangyang, et al.
Published: (2026)

ImmigrationQA: A Source-Grounded Dataset and Small-Model Adaptation for U.S. Immigration Law
by: Shportun, Nazarii
Published: (2026)

Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models
by: Liao, Jianxing, et al.
Published: (2025)

Distilling Self-Consistency into Verbal Confidence: A Pre-Registered Negative Result and Post-Hoc Rescue on Gemma 3 4B
by: Cacioli, Jon-Paul
Published: (2026)

Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning
by: Cacioli, Jon-Paul
Published: (2026)

Align and Shine: Building High-Quality Sentence-Aligned Corpora for Multilingual Text Simplification
by: Hilasaca, Kenji, et al.
Published: (2026)

Whether, Not Which: Mechanistic Interpretability Reveals Dissociable Affect Reception and Emotion Categorization in LLMs
by: Keeman, Michael
Published: (2026)

KAConvText: Novel Approach to Burmese Sentence Classification using Kolmogorov-Arnold Convolution
by: Thu, Ye Kyaw, et al.
Published: (2025)

When Persuasion Overrides Truth in Multi-Agent LLM Debates: Introducing a Confidence-Weighted Persuasion Override Rate (CW-POR)
by: Agarwal, Mahak, et al.
Published: (2025)

The Pragmatic Persona: Discovering LLM Persona through Bridging Inference
by: Yang, Jisoo, et al.
Published: (2026)

A Hierarchical Error Framework for Reliable Automated Coding in Communication Research: Applications to Health and Political Communication
by: Zhao, Zhilong, et al.
Published: (2025)

UrduBench: An Urdu Reasoning Benchmark using Contextually Ensembled Translations with Human-in-the-Loop
by: Shafique, Muhammad Ali, et al.
Published: (2026)

Eyla: Toward an Identity-Anchored LLM Architecture with Integrated Biological Priors -- Vision, Implementation Attempt, and Lessons from AI-Assisted Development
by: Aditto, Arif
Published: (2026)

Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback
by: Juzek, Tom S., et al.
Published: (2025)

Prototype Transformer: Towards Language Model Architectures Interpretable by Design
by: Yordanov, Yordan, et al.
Published: (2026)

Towards Ontology-Enhanced Representation Learning for Large Language Models
by: Ronzano, Francesco, et al.
Published: (2024)

CoE: Collaborative Entropy for Uncertainty Quantification in Agentic Multi-LLM Systems
by: Sun, Kangkang, et al.
Published: (2026)

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
by: Zhang, Gongbo, et al.
Published: (2026)

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

Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
by: Adapala, Sai Teja Reddy
Published: (2025)

Domain-Specific Pretraining of Language Models: A Comparative Study in the Medical Field
by: Kerner, Tobias
Published: (2024)

Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models
by: Cui, Sasha, et al.
Published: (2025)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

Beyond Hallucinations: A Composite Score for Measuring Reliability in Open-Source Large Language Models
by: Salla, Rohit Kumar, et al.
Published: (2025)

The Readout Shortcut: Positional Number Copying Dominates Arithmetic CoT Readout in Small Language Models
by: Liu, Ming
Published: (2026)

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

Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents
by: Chua, Jaymari, et al.
Published: (2025)

BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)