Large Language Models in Resolving Contextual Knowledge Conflicts

arXiv:2609.03148 · cs.CL · Submitted 2026-09-02 · Read on arXiv

cs.CL

Submitted: 2026-09-02

Updated: 2026-09-02

Code: https://github.com/lei-nlp-lab/context_conflict_emnlp_2026

Terminology

• Steering — 24× in this paper · explained in 2 episodes
• Accuracy — 17× in this paper · explained in 1 episode
• AUC — 14× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 12× in this paper · explained in 3 episodes
• Positional Bias — 8× in this paper · explained in 2 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• Core — 7× in this paper · explained in 2 episodes
• Interpretability — 7× in this paper · explained in 15 episodes
• Activation Steering — 6× in this paper · explained in 4 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Verification — 5× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Temporal Reasoning — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Context-Aware Steering — 2× in this paper
• Grounding — 2× in this paper · explained in 3 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Shapley values — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Activation Addition — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Engineering — 1× in this paper · explained in 2 episodes
• Systematic Bias — 1× in this paper · explained in 3 episodes

Sources

• DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs
• ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSA
• Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization
• gpt-oss-120b & gpt-oss-20b Model Card
• MaxShapley: Towards Incentive-compatible Generative Search with Fair Context Attribution
• OpenAI GPT-5 System Card
• Fair Document Valuation in LLM Summaries via Shapley Values
• Representation Engineering: A Top-Down Approach to AI Transparency

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