6 citations · 27 across the 25 of their papers we have counts for
9 papers · 1 filter
To Explore The Strange New World Beyond Data Distribution: System Behavior, Causality Tax, and Non-causal Base Model
Xianzhi Zeng, Jiangneng Li, Gao Cong
We show that the causality of language models (LMs) may not be necessary nor optimal. This is the case when system behavior (denoted as ) is incorporated as a first-principle Ba…
ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair
Chiwang Luk, Matin Mohammad Najafi, Zhifeng Jia +6
Large language model agents can repair real repository issues, but they often spend large context budgets on whole-file reads, broad searches, and long terminal outputs where usefu…
Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale
Ziting Wang, Yin Li, Zuhao Yang +3
LLM-powered data agents are playing an increasingly important role in data-driven decision making. However, existing data agents struggle to generalize to unseen data environments…
LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention
Ziqi Yin, Jianyang Gao, Peiqi Yin +2
Indexer-TopK, the operation to compute the scores and select the top-k candidates, is widely used by sparse attention algorithms in large language models and vector retrieval in re…
Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems
Kuncan Wang, Ziting Wang, Peizhuo Lv +4
Data agents integrate LLM-driven reasoning with relational data access, executable analytical tools, and multi-step workflow orchestration, making them increasingly central to ente…
HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework
Tianxing Bu, Zhaoqi Zhang, Linyou Cai +7
In modern online advertising platforms, Guaranteed Delivery (GD) contracts coexist and bid with Real-Time Bidding (RTB) auctions. Recent approaches either decouple GD and RTB optim…
CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting
Zhaoqi Zhang, Miao Xie, Yi Li +3
As urban environments continue to evolve rapidly, accurately modeling the dynamic behaviour of Points of Interest is essential for supporting data-driven urban planning and commerc…
BBC: Improving Large-k Approximate Nearest Neighbor Search with a Bucket-based Result Collector
Ziqi Yin, Gao Cong, Kai Zeng +2
Although Approximate Nearest Neighbor (ANN) search has been extensively studied, large-k ANN queries that aim to retrieve a large number of nearest neighbors remain underexplored,…
Beyond Single Slot: Joint Optimization for Multi-Slot Guaranteed Display Advertising
Zhaoqi Zhang, Jiaming Deng, Miao Xie +5
Guaranteed display advertising is crucial for platform monetization, yet existing methods often operate under a single-slot assumption, limiting their ability to optimize allocatio…