Papers with cognitive uncertainty
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge (2025.emnlp-main)
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| Challenge: | Retrieval-augmented generation (RAG) aims to mitigate the hallucination of Large Language Models (LLMs) however, external knowledge may contain noise and conflict with parametric knowledge of LLMs, leading to degraded performance. |
| Approach: | They propose a Dual-Stream Knowledge-Augmented Framework for Shared-Private Semantic Synergy that refines the traditional self-attention into a mixed-attention that distinguishes shared and private semantics for a controlled knowledge integration. |
| Outcome: | Extensive experiments show that the proposed framework achieves a superior performance over baselines. |
Cognitive-Uncertainty Guided Knowledge Distillation for Accurate Classification of Student Misconceptions (2026.findings-acl)
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| Challenge: | Existing methods for identifying student misconceptions overlook students' reasoning processes, authors report . |
| Approach: | They propose a knowledge distillation framework that mines high-value samples from existing data. |
| Outcome: | The proposed framework outperforms sota LLM and standard fine-tuned 72B models on cross-topic tests. |