LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating (2025 · 30 citations)
Evaluation of document understanding has not kept pace with large vision-language models (LVLMs). Standard datasets such as DocVQA cover only single pages and are close to saturated. Multi-page sets like MP-DocVQA and DUDE stay under 20 pages and rarely test how models connect different layout elements.
TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression (2025 · 8 citations)
Reasoning-focused LLMs that generate long Chain-of-Thought (CoT) often overthink, spending many tokens even on easy questions. Existing compression approaches usually need laborious data labeling, model interpolation (as in CoT-Valve), or costly RL with length penalties.
Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language (2026)
Multimodal LLMs often fail at geometry problems because they misread diagrams. They miss or invent points, lines, and relations. Prior diagram-parsing work, such as PGDP5K and FormalGeo7K, handled only plane figures. The authors build a single formal language that adopts the predicate-style notation of PGPS9K and…

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Updated 1 November 2026