Papers by Alexander Gurung

2 papers
CHIRON: Rich Character Representations in Long-Form Narratives (2024.findings-emnlp)

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Challenge: Existing systems for character representation have simplified the problem of representing complex characters via graphs and brief character descriptions.
Approach: They propose a ‘character sheet’ based representation that organizes and filters textual information about characters.
Outcome: The proposed representation organizes and filters textual information about characters and is better and more flexible than previous models.
Long-Context Reasoning Through Proxy-Based Chain-of-Thought Tuning (2026.acl-long)

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Challenge: Recent large language models support inputs of up to 10 million tokens, yet they perform poorly on long-context tasks.
Approach: They propose a training framework that transfers reasoning capabilities from proxy contexts to full long contexts.
Outcome: The proposed framework outperforms baseline models with reduced computational overhead.

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