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20192026
most citedA Comparative Study on Transformer vs RNN in Speech Applications

788 citations · 863 across the 21 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.AI2026

WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents

Ziyan Jiang, Jingbo Yang, Jiabao Ji +5

As interactive 3D worlds are increasingly used to study intelligent behavior, it becomes important to develop efficient pipelines for identifying anomalies in these simulated envir…

cs.SE2026

KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks

Zekun Xi, Yichen Nie, Ziyan Jiang +5

Despite the rapid advancement of generative agents, their deployment in real-world industry scenarios often encounters significant challenges due to a lack of domain-specific knowl…

cs.IR2026

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models

Haohang Huang, Xuan Lu, Mingyi Su +9

Multimodal embedding models aim to map heterogeneous inputs, such as text, images, videos, and audio, into a shared semantic space. However, existing methods and benchmarks remain…

cs.AI2026

OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence

Peigen Liu, Rui Ding, Yuren Mao +7

Large Language Model (LLM)-based Collective Intelligence (CI) presents a promising approach to overcoming the data wall and continuously boosting the capabilities of LLM agents. Ho…

cs.CL2026

ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders

Ofer Meshi, Krisztian Balog, Sally Goldman +5

The promise of LLM-based user simulators to improve conversational AI is hindered by a critical "realism gap," leading to systems that are optimized for simulated interactions, but…