Saved in:
| Main Authors: | Zhang, Lan, Valentino, Marco, Freitas, André |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.23166 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MASA: LLM-Driven Multi-Agent Systems for Autoformalization
by: Zhang, Lan, et al.
Published: (2025)
by: Zhang, Lan, et al.
Published: (2025)
Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions
by: Zhang, Lan, et al.
Published: (2025)
by: Zhang, Lan, et al.
Published: (2025)
Consistent Autoformalization for Constructing Mathematical Libraries
by: Zhang, Lan, et al.
Published: (2024)
by: Zhang, Lan, et al.
Published: (2024)
Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning
by: Zhang, Lan, et al.
Published: (2025)
by: Zhang, Lan, et al.
Published: (2025)
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
by: Quan, Xin, et al.
Published: (2024)
by: Quan, Xin, et al.
Published: (2024)
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement
by: Quan, Xin, et al.
Published: (2024)
by: Quan, Xin, et al.
Published: (2024)
Reasoning with Natural Language Explanations
by: Valentino, Marco, et al.
Published: (2024)
by: Valentino, Marco, et al.
Published: (2024)
PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement
by: Quan, Xin, et al.
Published: (2025)
by: Quan, Xin, et al.
Published: (2025)
Is Inference Mediated by Distinct Semantic Structures in LLMs? A Mechanistic Interpretation
by: Aljaafari, Nura, et al.
Published: (2026)
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)
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)
by: Rozanova, Julia, et al.
Published: (2024)
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
by: Ranaldi, Leonardo, et al.
Published: (2025)
by: Ranaldi, Leonardo, et al.
Published: (2025)
Controlling Equational Reasoning in Large Language Models with Prompt Interventions
by: Meadows, Jordan, et al.
Published: (2023)
by: Meadows, Jordan, et al.
Published: (2023)
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
by: Jullien, Mael, et al.
Published: (2024)
by: Jullien, Mael, et al.
Published: (2024)
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
by: Valentino, Marco, et al.
Published: (2023)
by: Valentino, Marco, et al.
Published: (2023)
Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations
by: Ranaldi, Leonardo, et al.
Published: (2024)
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)
by: Zhang, Yingji, et al.
Published: (2025)
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference
by: Thayaparan, Mokanarangan, et al.
Published: (2024)
by: Thayaparan, Mokanarangan, et al.
Published: (2024)
Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference
by: Kim, Geonhee, et al.
Published: (2024)
by: Kim, Geonhee, et al.
Published: (2024)
Inferring Latent Intentions: Attributional Natural Language Inference in LLM Agents
by: Quan, Xin, et al.
Published: (2026)
by: Quan, Xin, et al.
Published: (2026)
Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
by: Xu, Lei, et al.
Published: (2025)
by: Xu, Lei, et al.
Published: (2025)
Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies
by: Jullien, Mael, et al.
Published: (2025)
by: Jullien, Mael, et al.
Published: (2025)
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers
by: Meadows, Jordan, et al.
Published: (2023)
by: Meadows, Jordan, et al.
Published: (2023)
Decompose-and-Formalise: Recursively Verifiable Natural Language Inference
by: Quan, Xin, et al.
Published: (2026)
by: Quan, Xin, et al.
Published: (2026)
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
by: Zhang, Yingji, et al.
Published: (2024)
by: Zhang, Yingji, et al.
Published: (2024)
Integrating Expert Knowledge into Logical Programs via LLMs
by: Górski, Franciszek, et al.
Published: (2025)
by: Górski, Franciszek, et al.
Published: (2025)
SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning
by: Wysocka, Magdalena, et al.
Published: (2024)
by: Wysocka, Magdalena, et al.
Published: (2024)
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
by: Quan, Xin, et al.
Published: (2025)
by: Quan, Xin, et al.
Published: (2025)
Inference to the Best Explanation in Large Language Models
by: Dalal, Dhairya, et al.
Published: (2024)
by: Dalal, Dhairya, et al.
Published: (2024)
MMFormalizer: Multimodal Autoformalization in the Wild
by: Xiong, Jing, et al.
Published: (2026)
by: Xiong, Jing, et al.
Published: (2026)
Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
by: Valentino, Marco, et al.
Published: (2025)
by: Valentino, Marco, et al.
Published: (2025)
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
by: Ranaldi, Leonardo, et al.
Published: (2024)
by: Ranaldi, Leonardo, et al.
Published: (2024)
An Evaluation Benchmark for Autoformalization in Lean4
by: Gulati, Aryan, et al.
Published: (2024)
by: Gulati, Aryan, et al.
Published: (2024)
Process-Driven Autoformalization in Lean 4
by: Lu, Jianqiao, et al.
Published: (2024)
by: Lu, Jianqiao, et al.
Published: (2024)
CktFormalizer: Autoformalization of Natural Language into Circuit Representations
by: Xiong, Jing, et al.
Published: (2026)
by: Xiong, Jing, et al.
Published: (2026)
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
A New Approach Towards Autoformalization
by: Patel, Nilay, et al.
Published: (2023)
by: Patel, Nilay, et al.
Published: (2023)
FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean
by: Meadows, Jordan, et al.
Published: (2026)
by: Meadows, Jordan, et al.
Published: (2026)
Multi-Operational Mathematical Derivations in Latent Space
by: Valentino, Marco, et al.
Published: (2023)
by: Valentino, Marco, et al.
Published: (2023)
Towards Autoformalization of LLM-generated Outputs for Requirement Verification
by: Gupte, Mihir, et al.
Published: (2025)
by: Gupte, Mihir, et al.
Published: (2025)
Similar Items
-
MASA: LLM-Driven Multi-Agent Systems for Autoformalization
by: Zhang, Lan, et al.
Published: (2025) -
Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions
by: Zhang, Lan, et al.
Published: (2025) -
Consistent Autoformalization for Constructing Mathematical Libraries
by: Zhang, Lan, et al.
Published: (2024) -
Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning
by: Zhang, Lan, et al.
Published: (2025) -
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving
by: Quan, Xin, et al.
Published: (2024)