arXiv:2609.22793v1 Announce Type: cross Abstract: LLM-based machine translation evaluation can closely match human judgments, but in practice it remains…
Author: script
ParA-LLM: A Unified Approach to Paralinguistic and Acoustic Speech Understanding
arXiv:2609.22771v1 Announce Type: cross Abstract: Recent advances in Audio LLMs have achieved human-level speech recognition, yet existing systems…
Commonsense-Grounded Path Planning from Abstract Instructions
arXiv:2609.22813v1 Announce Type: cross Abstract: We present \emph{commonsense ranked search} (CoRS), a novel path planner that turns an abstract…
AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation
arXiv:2609.22796v1 Announce Type: cross Abstract: Dialectal Arabic machine translation (MT) remains challenging despite recent progress in Arabic language…
SelfOp: An Optimization Algorithm for Self-Improving Security Agents
arXiv:2609.22792v1 Announce Type: cross Abstract: LLM agents are increasingly used for security tasks: vulnerability discovery, exploit reproduction, and…
Analyzing Public Discourse on Urbanism: Topic Clustering, Sentiment Analysis and Retrieval-Augmented Generation using YouTube Comments
arXiv:2609.22705v1 Announce Type: cross Abstract: Online discourse about urban issues – walkability, cycling infrastructure, public transit, housing…
Parameterized Dense-Sparse Fusion for Hybrid Retrieval: Tuning a Rank-Score Mix on BEIR SciFact with Qdrant
arXiv:2609.22770v2 Announce Type: cross Abstract: We study a parameterized hybrid ranker that fuses a dense embedding list and a sparse lexical list. The…
From Code to Requirements: Agentic Reverse Engineering of Business Rules at Enterprise Scale
arXiv:2609.22719v1 Announce Type: cross Abstract: Business requirements for enterprise software systems are rarely captured in structured form; the logic…
Beyond Raw Engagement: A Counterfactual Observability Framework for Recommender Systems at Netflix
arXiv:2609.22747v1 Announce Type: cross Abstract: Understanding the performance of large-scale recommender systems remains an underexplored challenge,…
MATE: Policy-Aware Security Auditing for Mobile Agents via Synthesis-Driven Trajectory Learning
arXiv:2609.22724v1 Announce Type: cross Abstract: Mobile agents powered by foundation models now automate complex, multi-step workflows on real devices,…