EconWebArena is a new benchmark with 360 curated economic tasks across 82 authoritative websites for evaluating multimodal web agents on navigation, grounding, and data extraction.
arXiv preprint arXiv:2302.09432 , year=
4 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
FinDocMRE is a new multi-image document-level benchmark spanning 12 financial domains and 5 task types, showing that 11 tested LMMs all score below 65 overall with particular weaknesses in numerical estimation and cross-page grounding.
YouZhi-LLM applies a layer-adaptive GQA-to-MLA transition plus Ascend-specific distillation and fine-tuning to reduce KV-cache size, yielding up to 2.69× higher concurrency and modest gains on financial benchmarks versus base models.
Using LLM extraction on 681 papers, the authors build a public knowledge graph showing financial NLP moved from LLM adoption to limitation-aware, modular system design between 2022 and 2025.
citing papers explorer
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EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments
EconWebArena is a new benchmark with 360 curated economic tasks across 82 authoritative websites for evaluating multimodal web agents on navigation, grounding, and data extraction.
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FinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoning Evaluation
FinDocMRE is a new multi-image document-level benchmark spanning 12 financial domains and 5 task types, showing that 11 tested LMMs all score below 65 overall with particular weaknesses in numerical estimation and cross-page grounding.
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YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition
YouZhi-LLM applies a layer-adaptive GQA-to-MLA transition plus Ascend-specific distillation and fine-tuning to reduce KV-cache size, yielding up to 2.69× higher concurrency and modest gains on financial benchmarks versus base models.
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MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)
Using LLM extraction on 681 papers, the authors build a public knowledge graph showing financial NLP moved from LLM adoption to limitation-aware, modular system design between 2022 and 2025.