Cover Image

Decompose-and-Formalise: Recursively Verifiable Natural Language Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Quan, Xin, Valentino, Marco, Dennis, Louise A., Freitas, André
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
by: Quan, Xin, et al.
Published: (2024)

Inferring Latent Intentions: Attributional Natural Language Inference in LLM Agents
by: Quan, Xin, et al.
Published: (2026)

Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement
by: Quan, Xin, et al.
Published: (2024)

Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
by: Quan, Xin, et al.
Published: (2025)

Reasoning with Natural Language Explanations
by: Valentino, Marco, et al.
Published: (2024)

SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
by: Jullien, Mael, et al.
Published: (2024)

A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference
by: Thayaparan, Mokanarangan, et al.
Published: (2024)

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
by: Valentino, Marco, et al.
Published: (2023)

Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference
by: Kim, Geonhee, et al.
Published: (2024)

Is Inference Mediated by Distinct Semantic Structures in LLMs? A Mechanistic Interpretation
by: Aljaafari, Nura, et al.
Published: (2026)

Estimating the Causal Effects of Natural Logic Features in Neural NLI Models
by: Rozanova, Julia, et al.
Published: (2023)

Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models
by: Rozanova, Julia, et al.
Published: (2024)

Inference to the Best Explanation in Large Language Models
by: Dalal, Dhairya, et al.
Published: (2024)

PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement
by: Quan, Xin, et al.
Published: (2025)

Controlling Equational Reasoning in Large Language Models with Prompt Interventions
by: Meadows, Jordan, et al.
Published: (2023)

Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations
by: Ranaldi, Leonardo, et al.
Published: (2024)

Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
by: Zhang, Yingji, et al.
Published: (2025)

Monotonic Reference-Free Refinement for Autoformalization
by: Zhang, Lan, et al.
Published: (2026)

Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning
by: Zhang, Lan, et al.
Published: (2025)

Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
by: Ranaldi, Leonardo, et al.
Published: (2025)

Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions
by: Zhang, Lan, et al.
Published: (2025)

MASA: LLM-Driven Multi-Agent Systems for Autoformalization
by: Zhang, Lan, et al.
Published: (2025)

Towards Controllable Natural Language Inference through Lexical Inference Types
by: Zhang, Yingji, et al.
Published: (2023)

Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies
by: Jullien, Mael, et al.
Published: (2025)

SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning
by: Wysocka, Magdalena, et al.
Published: (2024)

Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
by: Xu, Lei, et al.
Published: (2025)

Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
by: Valentino, Marco, et al.
Published: (2025)

A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers
by: Meadows, Jordan, et al.
Published: (2023)

Logic-Parametric Neuro-Symbolic NLI: Controlling Logical Formalisms for Verifiable LLM Reasoning
by: Farjami, Ali, et al.
Published: (2026)

Consistent Autoformalization for Constructing Mathematical Libraries
by: Zhang, Lan, et al.
Published: (2024)

Integrating Expert Knowledge into Logical Programs via LLMs
by: Górski, Franciszek, et al.
Published: (2025)

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
by: Zhang, Yingji, et al.
Published: (2024)

TRACE: Training and Inference-Time Interpretability Analysis for Language Models
by: Aljaafari, Nura, et al.
Published: (2025)

Decomposed Opinion Summarization with Verified Aspect-Aware Modules
by: Li, Miao, et al.
Published: (2025)

The Knowledge-Reasoning Dissociation: Fundamental Limitations of LLMs in Clinical Natural Language Inference
by: Jullien, Maël, et al.
Published: (2025)

Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time
by: Yang, Nakyeong, et al.
Published: (2024)

DeInfer: Efficient Parallel Inferencing for Decomposed Large Language Models
by: Huang, You-Liang, et al.
Published: (2026)

Formalising lexical and syntactic diversity for data sampling in French
by: Estève, Louis, et al.
Published: (2025)

On Reference (In-)Determinacy in Natural Language Inference
by: Chen, Sihao, et al.
Published: (2025)

Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models
by: Madaan, Lovish, et al.
Published: (2024)