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20242026
most citedLightweight Safety Guardrails Using Fine-tuned BERT Embeddings

1 citations · 3 across the 20 of their papers we have counts for

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Showing 2025 · cs.CLShow all

7 papers · 2 filters

cs.CL2025★ 1 cited

Spoken Conversational Agents with Large Language Models

Chao-Han Huck Yang, Andreas Stolcke, Larry Heck

Spoken conversational agents are converging toward voice-native LLMs. This tutorial distills the path from cascaded ASR/NLU to end-to-end, retrieval-and vision-grounded systems. We…

cs.CL2025

Slot Filling as a Reasoning Task for SpeechLLMs

Kadri Hacioglu, Manjunath K E, Andreas Stolcke

We propose integration of reasoning into speech large language models (speechLLMs) for the end-to-end slot-filling task. Inspired by the recent development of reasoning LLMs, we us…

cs.CL2025

SpeechLLMs for Large-scale Contextualized Zero-shot Slot Filling

Kadri Hacioglu, Manjunath K E, Andreas Stolcke

Slot filling is a crucial subtask in spoken language understanding (SLU), traditionally implemented as a cascade of speech recognition followed by one or more natural language unde…

cs.CL2025

TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation

Shashi Kumar, Srikanth Madikeri, Esaú Villatoro-Tello +8

Token-based multitasking frameworks like TokenVerse require all training utterances to have labels for all tasks, hindering their ability to leverage partially annotated datasets a…

cs.CL2025

Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering

Andres Carofilis, Pradeep Rangappa, Srikanth Madikeri +10

Fine-tuning pretrained ASR models for specific domains is challenging when labeled data is scarce. But unlabeled audio and labeled data from related domains are often available. We…

cs.CL2025

Efficient Data Selection for Domain Adaptation of ASR Using Pseudo-Labels and Multi-Stage Filtering

Pradeep Rangappa, Andres Carofilis, Jeena Prakash +10

Fine-tuning pretrained ASR models for specific domains is challenging for small organizations with limited labeled data and computational resources. Here, we explore different data…

cs.CL2025

Improving endpoint detection in end-to-end streaming ASR for conversational speech

Anandh C, Karthik Pandia Durai, Jeena Prakash +6

ASR endpointing (EP) plays a major role in delivering a good user experience in products supporting human or artificial agents in human-human/machine conversations. Transducer-base…