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Large language models (LLMs) can expose memorized training sequences under prefix-based extraction: given a prefix from a training example, the model may assign high probability to the original continuation. In deployed systems, however, prefixes are rarely evaluated in isolation. They often appear together with instru...
This work presents a unified evaluation of representative CLC-enhancement methods for question answering, spanning inference-time interventions and post-training approaches across three model families and three closed-form benchmarks, highlighting the need to evaluate CLC enhancement for both cross-domain robustness an...
We present the insights gathered at the 1st Workshop on Conversational Search for Complex Information Needs (CoSCIN'26) held on 2 April 2026, in conjunction with the Forty-eighth European Conference on Information Retrieval (ECIR). The workshop brought together keynote presenters and industry representatives for lively...
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