MS MARCO
PulseAugur coverage of MS MARCO — every cluster mentioning MS MARCO across labs, papers, and developer communities, ranked by signal.
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LLMs power new adversarial attacks on neural ranking models
Researchers have developed a new framework called CRAFT to attack neural ranking models used in information retrieval. This framework utilizes large language models to generate adversarial content, which is then used to…
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Rabtriever model efficiently retrieves rationales, reducing LLM computational costs
Researchers have developed Rabtriever, a novel method to improve the efficiency of rationale-based information retrieval. This approach uses on-policy distillation from generative rerankers, inspired by the Joint-Embedd…
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Researchers propose Parametric Memory Head to improve generative retrieval models
Researchers have developed a novel approach called Post-Adaptation Memory Tuning (PAMT) to address the challenge of catastrophic forgetting in generative information retrieval models. PAMT introduces a modular parametri…