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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.AI2026

FrontierFinance: A Challenging Benchmark for Measuring Frontier Intelligence of Finance Agents

Yuhao Zhang, O. Ozan Koyluoglu, Thejas Venkatesh +4

AI agents are increasingly deployed for professional investment research, yet no benchmark captures the complexity of the full investor workflow. Existing benchmarks mainly target…

cs.CL2026

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search

Howard Yen, Yoonsang Lee, Ashwin Paranjape +5

The paper introduces SLIM, a lightweight framework that separates search and browsing tools and periodically summarizes information to overcome context limits in long-horizon web‑a…

cs.CV2026

BlendFusion -- Scalable Synthetic Data Generation for Diffusion Model Training

Thejas Venkatesh, Suguna Varshini Velury

With the rapid adoption of diffusion models, synthetic data generation has emerged as a promising approach for addressing the growing demand for large-scale image datasets. However…

cs.CL2026

OpaqueToolsBench: Learning Nuances of Tool Behavior Through Interaction

Skyler Hallinan, Thejas Venkatesh, Xiang Ren +4

Tool-calling is essential for Large Language Model (LLM) agents to complete real-world tasks. While most existing benchmarks assume simple, perfectly documented tools, real-world t…

cs.IR2025

ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring

Kaili Huang, Thejas Venkatesh, Uma Dingankar +9

We study serving retrieval models, specifically late interaction models like ColBERT, to many concurrent users at once and under a small budget, in which the index may not fit in m…