Cover Image

Intent Classification for Bank Chatbots through LLM Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lajčinová, Bibiána, Valábek, Patrik, Spišiak, Michal
Format:	Preprint
Published:	2024
Subjects:	Computation and Language I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Named Entity Recognition for Address Extraction in Speech-to-Text Transcriptions Using Synthetic Data
by: Lajčinová, Bibiána, et al.
Published: (2024)

On the Effectiveness of LLM-Specific Fine-Tuning for Detecting AI-Generated Text
by: Gromadzki, Michał, et al.
Published: (2026)

Is Our Chatbot Telling Lies? Assessing Correctness of an LLM-based Dutch Support Chatbot
by: Lassche, Herman, et al.
Published: (2024)

Fine-Tuning LLMs with Fine-Grained Human Feedback on Text Spans
by: CH-Wang, Sky, et al.
Published: (2025)

Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning
by: Bi, Jing, et al.
Published: (2024)

Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
by: Gonzalez, Alberto Andres Valdes
Published: (2026)

CRISP: Persistent Concept Unlearning via Sparse Autoencoders
by: Ashuach, Tomer, et al.
Published: (2025)

Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification
by: Bucher, Martin Juan José, et al.
Published: (2024)

UM_FHS at the CLEF 2025 SimpleText Track: Comparing No-Context and Fine-Tune Approaches for GPT-4.1 Models in Sentence and Document-Level Text Simplification
by: Kocbek, Primoz, et al.
Published: (2025)

LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation
by: Da, Longchao, et al.
Published: (2024)

SAGE: Hierarchical LLM-Based Literary Evaluation through Ontology-Grounded Interpretive Dimensions
by: Wang, Tianyu, et al.
Published: (2026)

Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin
by: Sarker, Soumick, et al.
Published: (2025)

DROID: Dual Representation for Out-of-Scope Intent Detection
by: Rashwan, Wael, et al.
Published: (2025)

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback
by: Aponte, Ryan, et al.
Published: (2024)

NERCat: Fine-Tuning for Enhanced Named Entity Recognition in Catalan
by: Ferreres, Guillem Cadevall, et al.
Published: (2025)

AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes
by: Yao, Barry Menglong, et al.
Published: (2023)

Scaling Laws for Forgetting When Fine-Tuning Large Language Models
by: Kalajdzievski, Damjan
Published: (2024)

ConPET: Continual Parameter-Efficient Tuning for Large Language Models
by: Song, Chenyang, et al.
Published: (2023)

Active Few-Shot Learning for Text Classification
by: Ahmadnia, Saeed, et al.
Published: (2025)

Large Language Models for Biomedical Article Classification
by: Proboszcz, Jakub, et al.
Published: (2026)

LLM-GLOBE: A Benchmark Evaluating the Cultural Values Embedded in LLM Output
by: Karinshak, Elise, et al.
Published: (2024)

HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns
by: Wang, Xintao, et al.
Published: (2026)

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning
by: Zou, Run, et al.
Published: (2026)

LombardoGraphia: Automatic Classification of Lombard Orthography Variants
by: Signoroni, Edoardo, et al.
Published: (2026)

EmoS: A High-Fidelity Multimodal Benchmark for Fine-grained Streaming Emotional Understanding
by: Guo, Pengze, et al.
Published: (2026)

Revisiting Word Embeddings in the LLM Era
by: Mahajan, Yash, et al.
Published: (2024)

Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions
by: Orlikowski, Matthias, et al.
Published: (2025)

Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation
by: Antypas, Dimosthenis, et al.
Published: (2024)

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
by: Ren, Pengjie, et al.
Published: (2024)

Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents
by: Wang, Renxi, et al.
Published: (2024)

Distinguishing Ignorance from Error in LLM Hallucinations
by: Simhi, Adi, et al.
Published: (2024)

Decoding-Free Sampling Strategies for LLM Marginalization
by: Pohl, David, et al.
Published: (2025)

QUAD: Quantization and Parameter-Efficient Tuning of LLM with Activation Decomposition
by: Hu, Yuxuan, et al.
Published: (2025)

Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning
by: Steele, Brady
Published: (2026)

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER
by: Ewais, Ahmed, et al.
Published: (2026)

LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues
by: Stacey, Joe, et al.
Published: (2024)

Automatic Task Detection and Heterogeneous LLM Speculative Decoding
by: Ge, Danying, et al.
Published: (2025)

Masked by Consensus: Disentangling Privileged Knowledge in LLM Correctness
by: Ashuach, Tomer, et al.
Published: (2026)

Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes
by: Schopf, Tim, et al.
Published: (2024)

Fine-Tuned Large Language Models for Logical Translation: Reducing Hallucinations with Lang2Logic
by: Pan, Muyu, et al.
Published: (2025)