Papers by Xiujie Song

3 papers
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models (2025.naacl-long)

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Challenge: Large Vision-Language Models (LVLMs) are hardly comprehensively evaluated for their cognitive abilities.
Approach: They propose to evaluate high-level cognitive abilities of Large Vision-Language Models (LVLMs) using images with rich semantics.
Outcome: The proposed evaluation benchmark consists of 251 images along with comprehensive annotations.
One Battle After Another: Probing LLMs’ Limits on Multi-Turn Instruction Following with a Benchmark Evolving Framework (2026.acl-long)

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Challenge: Existing benchmarks for instruction-following in multi-topic dialogues are limited to a fixed number of turns, susceptible to saturation and failing to account for users’ interactive experience.
Approach: They propose a framework featuring a three-layer tracking mechanism and a query synthesis agent to mimic sequential user behaviors.
Outcome: The proposed framework outperforms existing benchmarks in the evaluation of instruction following in multi-topic dialogues and demonstrates deficiencies in failure recovery and fine-grained instruction following.
Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization (2023.acl-industry)

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Challenge: e-commerce platforms are encountering increasingly complex product categorization scenarios . multiple business domains correspond to different category taxonomies, with different depths and distinct literal expressions of category names.
Approach: They propose a taxonomy-agnostic framework that calculates semantic relatedness between product titles and category names in the vector space.
Outcome: The proposed framework outperforms strong baselineson three dynamic multi-domain product categorization tasks.

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