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20242026
most citedRethinking Memory in LLM based Agents: Representations, Operations, and Emerging Topics

1 citations · 1 across the 15 of their papers we have counts for

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cs.CL2026

REFRAMED: Towards Realistic Audio Description Generation for Movies

Igor Sterner, Mirella Lapata, Alex Lascarides +1

Audio Description (AD) is a verbal narration of key visual content in videos, enabling access for visually impaired audiences. Unlike standard video captioning, AD is a structured…

cs.CL2026

Storyline Trees: Hierarchical Representations for Long-Form Narratives

Litu Ou, Mirella Lapata

Long-form narratives are challenging for long-context models because their structure is implicit: events, characters, and plotlines interact across hundreds of pages without the ex…

cs.CL2026

Lightweight Latent Reasoning for Narrative Tasks

Alexander Gurung, Esmeralda S. Whitammer, Mirella Lapata

Large language models (LLMs) tackle complex tasks by generating long chains of thought or "reasoning traces" that act as latent variables in the generation of an output given a que…

cs.CL2026

GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

Gaspard Michel, Elena V. Epure, Romain Hennequin +2

Methods to represent literary texts as graphs or sequences of graphs mainly focus on representing character interactions, and often overlook another crucial aspect: the textual con…

cs.CL2026

Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning

Miao Li, Irina Saparina, Alexander Gurung +1

Recent large language models support inputs of up to 10 million tokens, yet they perform poorly on long-context tasks that require complex reasoning. Such tasks can be solved using…

cs.CL2026

Reasoning about Intent for Ambiguous Requests

Irina Saparina, Mirella Lapata

Large language models often respond to ambiguous requests by implicitly committing to one interpretation, frustrating users and creating safety risks when that interpretation is wr…