ConvMemory v2

ConvMemory v2: Recall-preserving cross-encoder reranker for conversational memory retrieval

ConvMemory v2 is a fine-tuned cross-encoder reranker (22M parameters, based on ms-marco-MiniLM-L-6-v2) that reorders the top-10 candidates from the prior ConvMemory v1 system without changing which memories are retrieved, preserving Recall@10 by construction. On the LoCoMo conversational memory benchmark, v2 raises MRR from 0.5824 to 0.6560 and Hit@1 from 0.4440 to 0.5474, closing most of the gap to a much more expensive full-pool cross-encoder baseline. An ablation study confirms that candidate-specific memory text is the key mechanism driving the improvement.