Papers by Jinxing Zhou

2 papers
MAviS: A Multimodal Conversational Assistant For Avian Species (2025.emnlp-main)

Copied to clipboard

Challenge: Existing multimodal large language models face challenges when it comes to specialized topics like avian species.
Approach: They propose a large-scale multimodal avian species dataset that integrates image, audio, and text modalities for over 1,000 bird species.
Outcome: The proposed model outperforms the baseline MiniCPM-o-2.6 by a large margin.
MTAVG-Bench: A Diagnostic Benchmark for Multi-Talker Dialogue-Centric Audio-Video Generation (2026.acl-long)

Copied to clipboard

Challenge: Existing evaluation benchmarks for text-to-audio-video (T2AV) generation are largely designed for human-recorded videos or single-speaker settings.
Approach: They propose a failure-driven diagnostic benchmark for multi-talker dialogue-centric audio-video generation.
Outcome: The benchmark evaluates multi-speaker dialogue generation at four levels: audio-visual signal fidelity, temporal attribute consistency, social interaction, and cinematic expression.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations