Copertina

Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ranaldi, Leonardo, Pucci, Giulia, Ranaldi, Federico, Ruzzetti, Elena Sofia, Zanzotto, Fabio Massimo
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2023)

Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages
di: Ruzzetti, Elena Sofia, et al.
Pubblicazione: (2023)

Protoknowledge Shapes Behaviour of LLMs in Downstream Tasks: Memorization and Generalization with Knowledge Graphs
di: Ranaldi, Federico, et al.
Pubblicazione: (2025)

HANS, are you clever? Clever Hans Effect Analysis of Neural Systems
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2023)

When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2023)

Animate, or Inanimate, That is the Question for Large Language Models
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2024)

Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2023)

Abstract Activation Spaces for Content-Invariant Reasoning in Large Language Models
di: Maraia, Gabriele, et al.
Pubblicazione: (2026)

Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm
di: Zanzotto, Fabio Massimo, et al.
Pubblicazione: (2026)

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

A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2023)

Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2025)

Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
di: Ranaldi, Federico, et al.
Pubblicazione: (2024)

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

Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
di: Ruzzetti, Elena Sofia, et al.
Pubblicazione: (2025)

The Dark Side of the Language: Pre-trained Transformers in the DarkNet
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2022)

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

Enhancing Data Privacy in Large Language Models through Private Association Editing
di: Venditti, Davide, et al.
Pubblicazione: (2024)

Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
di: Miranda, Michele, et al.
Pubblicazione: (2024)

Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2025)

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

Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection
di: Mastromattei, Michele, et al.
Pubblicazione: (2024)

Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2024)

Every time I fire a conversational designer, the performance of the dialog system goes down
di: Xompero, Giancarlo A., et al.
Pubblicazione: (2021)

Mentor-KD: Making Small Language Models Better Multi-step Reasoners
di: Lee, Hojae, et al.
Pubblicazione: (2024)

A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
di: Wei, Ting-Ruen, et al.
Pubblicazione: (2025)

Entropy-based Exploration Conduction for Multi-step Reasoning
di: Zhang, Jinghan, et al.
Pubblicazione: (2025)

Abstraction-of-Thought Makes Language Models Better Reasoners
di: Hong, Ruixin, et al.
Pubblicazione: (2024)

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding
di: Liu, Tianqiao, et al.
Pubblicazione: (2024)

Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
di: Zhang, Xinliang Frederick, et al.
Pubblicazione: (2024)

TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models
di: Gao, Fan, et al.
Pubblicazione: (2025)

Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
di: Abdaljalil, Samir, et al.
Pubblicazione: (2025)

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
di: Liao, Weibin, et al.
Pubblicazione: (2024)

Not All Thoughts are Generated Equal: Efficient LLM Reasoning via Multi-Turn Reinforcement Learning
di: Ning, Yansong, et al.
Pubblicazione: (2025)

MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
di: Nguyen, Thang, et al.
Pubblicazione: (2025)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
di: Ye, Jiacheng, et al.
Pubblicazione: (2024)

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models
di: Yu, Chenxiao, et al.
Pubblicazione: (2024)

Table as Thought: Exploring Structured Thoughts in LLM Reasoning
di: Sun, Zhenjie, et al.
Pubblicazione: (2025)

STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering
di: Bi, Zhenyu, et al.
Pubblicazione: (2024)

Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models
di: Mastromattei, Michele, et al.
Pubblicazione: (2024)