Identifies the generative-discriminative gap in LLM hard negative synthesis for retrieval and proposes CausalNeg using CoT counterfactual perturbation plus query-view entropy maximization to generate more effective negatives.
arXiv preprint arXiv:2108.13897 , year=
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Reproduction confirms PAG boosts generative retrieval effectiveness, but its look-ahead planning signal collapses under intent-preserving typos and query mismatches, reverting performance to unguided decoding.
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SG-SRL applies cross-lingual semantic RL on source monolingual data plus a recovery stage to improve semantic grounding over standard SFT in low-resource target-language generation.
Multilingual RAG rerankers exhibit language bias that limits cross-lingual evidence use, and the proposed LAURA method aligns ranking with downstream generation utility to reduce the bias and improve performance.
Fragata applies hybrid RAG to enable semantic retrieval of HPC support tickets across 20 years of history, handling language differences, typos, and varied wording better than traditional keyword search.
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C-Pack: Packed Resources For General Chinese Embeddings
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