Copertina

TravelBench : Exploring LLM Performance in Low-Resource Domains

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Billa, Srinivas, Jing, Xiaonan
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

On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
di: Jing, Xiaonan, et al.
Pubblicazione: (2024)

The Cascade Equivalence Hypothesis: When Do Speech LLMs Behave Like ASR$\rightarrow$LLM Pipelines?
di: Billa, Jayadev
Pubblicazione: (2026)

Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs
di: Billa, Jayadev
Pubblicazione: (2026)

The Geometric Anatomy of Capability Acquisition in Transformers
di: Billa, Jayadev
Pubblicazione: (2026)

Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction
di: Jing, Xiaonan, et al.
Pubblicazione: (2026)

TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages
di: Ofer, Moshe, et al.
Pubblicazione: (2025)

Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG
di: Setiawan, David Samuel, et al.
Pubblicazione: (2026)

Supervisory Prompt Training
di: Billa, Jean Ghislain, et al.
Pubblicazione: (2024)

Exploring Performance Variations in Finetuned Translators of Ultra-Low Resource Languages: Do Linguistic Differences Matter?
di: Gonçalves, Isabel, et al.
Pubblicazione: (2025)

Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain
di: Luo, Yuanchang, et al.
Pubblicazione: (2024)

Large Language Models in the Travel Domain: An Industrial Experience
di: Di Meglio, Sergio, et al.
Pubblicazione: (2025)

ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain
di: Zhao, Haochen, et al.
Pubblicazione: (2024)

SNaRe: Domain-aware Data Generation for Low-Resource Event Detection
di: Parekh, Tanmay, et al.
Pubblicazione: (2025)

From LLM to NMT: Advancing Low-Resource Machine Translation with Claude
di: Enis, Maxim, et al.
Pubblicazione: (2024)

Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark
di: Zheng, Dewu, et al.
Pubblicazione: (2024)

Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation
di: Azad, Parham Abed, et al.
Pubblicazione: (2024)

Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing
di: Aryan, Prakash
Pubblicazione: (2024)

Planning in the LLM Era: Building for Reliability and Efficiency
di: Katz, Michael, et al.
Pubblicazione: (2026)

Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
di: Ramasethu, Aishwarya, et al.
Pubblicazione: (2026)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
di: Li, Zihao, et al.
Pubblicazione: (2024)

MyCulture: Exploring Malaysia's Diverse Culture under Low-Resource Language Constraints
di: Hew, Zhong Ken, et al.
Pubblicazione: (2025)

LoASR-Bench: Evaluating Large Speech Language Models on Low-Resource Automatic Speech Recognition Across Language Families
di: Chen, Jianan, et al.
Pubblicazione: (2026)

CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
di: Cheng, Junhang, et al.
Pubblicazione: (2026)

Large Language Models as Planning Domain Generators
di: Oswald, James, et al.
Pubblicazione: (2024)

OckBench: Measuring the Efficiency of LLM Reasoning
di: Du, Zheng, et al.
Pubblicazione: (2025)

Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks
di: Seo, Minju, et al.
Pubblicazione: (2024)

ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents
di: Shao, Jie-Jing, et al.
Pubblicazione: (2024)

NC-Bench: An LLM Benchmark for Evaluating Conversational Competence
di: Moore, Robert J., et al.
Pubblicazione: (2026)

Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning
di: Li, Zhen, et al.
Pubblicazione: (2025)

Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages
di: Kellert, Olga, et al.
Pubblicazione: (2025)

Konkani LLM: Multi-Script Instruction Tuning and Evaluation for a Low-Resource Indian Language
di: Fernandes, Reuben Chagas, et al.
Pubblicazione: (2026)

Skill Availability and Presentation Granularity in Large-Language-Model Agents: A Controlled SkillsBench Study
di: Xu, Xiaonan, et al.
Pubblicazione: (2026)

TravelAgent: An AI Assistant for Personalized Travel Planning
di: Chen, Aili, et al.
Pubblicazione: (2024)

Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios
di: Gurav, Namrata Patil, et al.
Pubblicazione: (2026)

A Comparison of LLM Finetuning Methods & Evaluation Metrics with Travel Chatbot Use Case
di: Meyer, Sonia, et al.
Pubblicazione: (2024)

Retracing the Past: LLMs Emit Training Data When They Get Lost
di: Ko, Myeongseob, et al.
Pubblicazione: (2025)

Domain Specific Specialization in Low-Resource Settings: The Efficacy of Offline Response-Based Knowledge Distillation in Large Language Models
di: Aslan, Erdem, et al.
Pubblicazione: (2026)

SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings
di: Yoo, Jaekwon, et al.
Pubblicazione: (2025)

Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen
di: Zainaldin, James L., et al.
Pubblicazione: (2026)

adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds
di: Lankford, Séamus, et al.
Pubblicazione: (2024)