138 citations
- Amazon (United States)US6 papers
- University of BristolGB3 papers
- University of OxfordGB3 papers
- Amazon (Germany)DE2 papers
- Universidad Politécnica de MadridES2 papers
- University of AmsterdamNL2 papers
- University of EdinburghGB2 papers
- University of SheffieldGB2 papers
- Aalto UniversityFI1 paper
- Allen InstituteUS1 paper
- Amsterdam University of the ArtsNL1 paper
- Bilkent UniversityTR1 paper
27 papers
StanceBench: A Benchmark for Audio LLM-Based Interpersonal Stance Evaluation from Speech
Yuzhe Wang, Thomas Thebaud, Jennifer Hu +5
Speech-to-speech dialogue models increasingly depend on prosody and interactional nuance to convey social intent, yet benchmarks for these cues remain limited. We introduce StanceB…
Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval
Abdellah Ghassel, Ian Robinson, Gabriel Tanase +6
Retrieval-Augmented Generation (RAG) grounds large language models in external evidence, yet it still falters when answers must be pieced together across semantically distant docum…
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
Chuan Meng, Francesco Tonolini, Fengran Mo +3
Proactive search in conversations (PSC) aims to reduce user effort in formulating explicit queries by proactively retrieving useful relevant information given conversational contex…
MVAD: A Multiple Visual Artifact Detector for Video Streaming
Chen Feng, Duolikun Danier, Fan Zhang +3
Visual artifacts are often introduced into streamed video content, due to prevailing conditions during content production and delivery. Since these can degrade the quality of the u…
Models for Storage in Database Backends
Edgard Schiebelbein, Saalik Hatia, Annette Bieniusa +3
This paper describes ongoing work on developing a formal specification of a database backend. We present the formalisation of the expected behaviour of a basic transactional system…
RankDVQA-mini: Knowledge Distillation-Driven Deep Video Quality Assessment
Chen Feng, Duolikun Danier, Haoran Wang +4
Deep learning-based video quality assessment (deep VQA) has demonstrated significant potential in surpassing conventional metrics, with promising improvements in terms of correlati…