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cs.CL2026
Memory vs. Context? Influential Factors of Factual Recall in Language Models
Guilhem Fouilhé, Nicholas Asher, Philippe Muller
We reproduce and stress-test the work of Yu et al. (2023), who characterize how language models (LMs) arbitrate between memorized knowledge and contradictory in-context statements.…
cs.CL2026
Minimal Clips, Maximum Salience: Long Video Summarization via Key Moment Extraction
Galann Pennec, Zhengyuan Liu, Nicholas Asher +2
Vision-Language Models (VLMs) are able to process increasingly longer videos. Yet, important visual information is easily lost throughout the entire context and missed by VLMs. Als…
cs.CL2025
Integrating Video and Text: A Balanced Approach to Multimodal Summary Generation and Evaluation
Galann Pennec, Zhengyuan Liu, Nicholas Asher +2
Vision-Language Models (VLMs) often struggle to balance visual and textual information when summarizing complex multimodal inputs, such as entire TV show episodes. In this paper, w…