Image de couverture de livre

Factors affecting the in-context learning abilities of LLMs for dialogue state tracking

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hegde, Pradyoth, Kesiraju, Santosh, Švec, Jan, Sedláček, Šimon, Yusuf, Bolaji, Plchot, Oldřich, T, Deepak K, Černocký, Jan
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs
par: Sedláček, Šimon, et autres
Publié: (2025)

Joint Speech and Text Training for LLM-Based End-to-End Spoken Dialogue State Tracking
par: Vendrame, Katia, et autres
Publié: (2025)

FLiP: Towards understanding and interpreting multimodal multilingual sentence embeddings
par: Kesiraju, Santosh, et autres
Publié: (2026)

Aligning Pre-trained Models for Spoken Language Translation
par: Sedláček, Šimon, et autres
Publié: (2024)

Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units
par: Yusuf, Bolaji, et autres
Publié: (2024)

DeCRED: Decoder-Centric Regularization for Encoder-Decoder Based Speech Recognition
par: Polok, Alexander, et autres
Publié: (2025)

ORCA: Open-ended Response Correctness Assessment for Audio Question Answering
par: Sedláček, Šimon, et autres
Publié: (2025)

TS-SUPERB: A Target Speech Processing Benchmark for Speech Self-Supervised Learning Models
par: Peng, Junyi, et autres
Publié: (2025)

A Bayesian Multilingual Document Model for Zero-shot Topic Identification and Discovery
par: Kesiraju, Santosh, et autres
Publié: (2020)

BUT Systems for Environmental Sound Deepfake Detection in the ESDD 2026 Challenge
par: Peng, Junyi, et autres
Publié: (2025)

Beyond the Labels: Unveiling Text-Dependency in Paralinguistic Speech Recognition Datasets
par: Pešán, Jan, et autres
Publié: (2024)

Target Speech Extraction with Pre-trained Self-supervised Learning Models
par: Peng, Junyi, et autres
Publié: (2024)

CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification
par: Peng, Junyi, et autres
Publié: (2024)

Improving Automatic Speech Recognition with Decoder-Centric Regularisation in Encoder-Decoder Models
par: Polok, Alexander, et autres
Publié: (2024)

State-of-the-art Embeddings with Video-free Segmentation of the Source VoxCeleb Data
par: Barahona, Sara, et autres
Publié: (2024)

Probing Self-supervised Learning Models with Target Speech Extraction
par: Peng, Junyi, et autres
Publié: (2024)

Written Term Detection Improves Spoken Term Detection
par: Yusuf, Bolaji, et autres
Publié: (2024)

Robustness assessment of large audio language models in multiple-choice evaluation
par: López, Fernando, et autres
Publié: (2025)

Hybrid Pruning: In-Situ Compression of Self-Supervised Speech Models for Speaker Verification and Anti-Spoofing
par: Peng, Junyi, et autres
Publié: (2025)

IIITH-BUT system for IWSLT 2025 low-resource Bhojpuri to Hindi speech translation
par: Akkiraju, Bhavana, et autres
Publié: (2025)

Strategies for improving low resource speech to text translation relying on pre-trained ASR models
par: Kesiraju, Santosh, et autres
Publié: (2023)

Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models
par: Yusuf, Bolaji, et autres
Publié: (2024)

End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data
par: Pothula, Aishwarya, et autres
Publié: (2025)

Why are LLMs' abilities emergent?
par: Havlík, Vladimír
Publié: (2025)

Is one brick enough to break the wall of spoken dialogue state tracking?
par: Druart, Lucas, et autres
Publié: (2023)

Adapting Diarization-Conditioned Whisper for End-to-End Multi-Talker Speech Recognition
par: Kocour, Martin, et autres
Publié: (2025)

The interplay of nonverbal behavior, affect, and language in perceptions of second language ability
par: J. Dylan Burton
Publié: (2025)

In-context Language Learning for Endangered Languages in Speech Recognition
par: Li, Zhaolin, et autres
Publié: (2025)

Multimodal In-context Learning for ASR of Low-resource Languages
par: Li, Zhaolin, et autres
Publié: (2026)

No Need for Explanations: LLMs can implicitly learn from mistakes in-context
par: Alazraki, Lisa, et autres
Publié: (2025)

Density estimation with LLMs: a geometric investigation of in-context learning trajectories
par: Liu, Toni J. B., et autres
Publié: (2024)

The broader spectrum of in-context learning
par: Lampinen, Andrew Kyle, et autres
Publié: (2024)

Large Linguistic Models: Investigating LLMs' metalinguistic abilities
par: Beguš, Gašper, et autres
Publié: (2023)

Mapping News Narratives Using LLMs and Narrative-Structured Text Embeddings
par: Elfes, Jan
Publié: (2024)

Challenging margin-based speaker embedding extractors by using the variational information bottleneck
par: Stafylakis, Themos, et autres
Publié: (2024)

LLMs with in-context learning for Algorithmic Theoretical Physics
par: Hell, Anamaria, et autres
Publié: (2026)

Can multiple-choice questions really be useful in detecting the abilities of LLMs?
par: Li, Wangyue, et autres
Publié: (2024)

Compositional security definitions for higher-order where declassification
par: Menz, Jan, et autres
Publié: (2026)

DiCoW: Diarization-Conditioned Whisper for Target Speaker Automatic Speech Recognition
par: Polok, Alexander, et autres
Publié: (2024)

AIC CTU@FEVER 8: On-premise fact checking through long context RAG
par: Ullrich, Herbert, et autres
Publié: (2025)