Copertina

A Reasoning-Based Approach to Cryptic Crossword Clue Solving

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Andrews, Martin, Witteveen, Sam
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Proving that Cryptic Crossword Clue Answers are Correct
di: Andrews, Martin, et al.
Pubblicazione: (2024)

Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
di: Zugarini, Andrea, et al.
Pubblicazione: (2024)

What Makes Cryptic Crosswords Challenging for LLMs?
di: Sadallah, Abdelrahman, et al.
Pubblicazione: (2024)

Are LLMs Good Cryptic Crossword Solvers?
di: Sadallah, Abdelrahman, et al.
Pubblicazione: (2024)

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
di: Rozner, Josh, et al.
Pubblicazione: (2021)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
di: Ding, Wenxuan, et al.
Pubblicazione: (2023)

Language Models are Crossword Solvers
di: Saha, Soumadeep, et al.
Pubblicazione: (2024)

Harnessing LLMs for Educational Content-Driven Italian Crossword Generation
di: Zeinalipour, Kamyar, et al.
Pubblicazione: (2024)

ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications
di: Zeinalipour, Kamyar, et al.
Pubblicazione: (2023)

GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization
di: Andrews, Martin, et al.
Pubblicazione: (2025)

Case-Based Reasoning Approach for Solving Financial Question Answering
di: Kim, Yikyung, et al.
Pubblicazione: (2024)

REAMS: Reasoning Enhanced Algorithm for Maths Solving
di: Singh, Eishkaran, et al.
Pubblicazione: (2025)

Seek and Solve Reasoning for Table Question Answering
di: Jiang, Ruya, et al.
Pubblicazione: (2024)

Puzzle Solving using Reasoning of Large Language Models: A Survey
di: Giadikiaroglou, Panagiotis, et al.
Pubblicazione: (2024)

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
di: Gou, Zhibin, et al.
Pubblicazione: (2023)

Capturing Sparks of Abstraction for the ARC Challenge
di: Andrews, Martin
Pubblicazione: (2024)

Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
di: Gao, Songyang, et al.
Pubblicazione: (2025)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
di: Xu, Xin, et al.
Pubblicazione: (2025)

$\texttt{LM}^\texttt{2}$: A Simple Society of Language Models Solves Complex Reasoning
di: Juneja, Gurusha, et al.
Pubblicazione: (2024)

Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
di: Ma, Xuetao, et al.
Pubblicazione: (2025)

Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
di: Tyagi, Nemika, et al.
Pubblicazione: (2024)

BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
di: Wang, Teng, et al.
Pubblicazione: (2024)

Following the Clues: Experiments on Person Re-ID using Cross-Modal Intelligence
di: Aufschläger, Robert, et al.
Pubblicazione: (2025)

Counting Clues: A Lightweight Probabilistic Baseline Can Match an LLM
di: Jia, Furong, et al.
Pubblicazione: (2025)

CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs
di: Wang, Kangsheng, et al.
Pubblicazione: (2024)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
di: Parmar, Mihir, et al.
Pubblicazione: (2025)

Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning
di: Kim, Jonathan, et al.
Pubblicazione: (2025)

SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
di: Kim, Hyeonwoo, et al.
Pubblicazione: (2024)

Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
di: Zhou, Yue, et al.
Pubblicazione: (2024)

Satisfiability Solving with LLMs: A Matched-Pair Evaluation of Reasoning Capability
di: Zhang, Leizhen, et al.
Pubblicazione: (2026)

VERGE: Formal Refinement and Guidance Engine for Verifiable LLM Reasoning
di: Singh, Vikash, et al.
Pubblicazione: (2026)

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
di: Singhi, Nishad, et al.
Pubblicazione: (2025)

Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning
di: Silver, Sam, et al.
Pubblicazione: (2025)

Sandwich Reasoning: An Answer-Reasoning-Answer Approach for Low-Latency Query Correction
di: Zhang, Chen, et al.
Pubblicazione: (2026)

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
di: Chen, Zui, et al.
Pubblicazione: (2025)

Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
di: Ong, Kai Tzu-iunn, et al.
Pubblicazione: (2024)

Debating for Better Reasoning: An Unsupervised Multimodal Approach
di: Adhikari, Ashutosh, et al.
Pubblicazione: (2025)

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
di: Qu, Yuxiao, et al.
Pubblicazione: (2025)

Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering
di: Fu, Xingyu, et al.
Pubblicazione: (2023)

Beyond Words: A Latent Memory Approach to Internal Reasoning in LLMs
di: Orlicki, José I.
Pubblicazione: (2025)