Selective State-Space Adaptation and Retrieval for Language Model Reasoning

arXiv:2607.19326 · cs.CL · Submitted 2026-07-21 · Read on arXiv

cs.CL

Submitted: 2026-07-21

Updated: 2026-09-14

Comments: Accepted to EMNLP 2026 (Main Conference). 22 pages, 5 figures, 20 tables. Code: https://github.com/atahandokme/malora-mara

Code: https://github.com/atahandokme/malora-mara

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adaptation — 33× in this paper · explained in 1 episode
• Transformer — 12× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Multi-hop Reasoning — 4× in this paper · explained in 3 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Activation Patching — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• LLMs Get Lost In Multi-Turn Conversation
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• Efficiently Modeling Long Sequences with Structured State Spaces
• READ: Recurrent Adaptation of Large Transformers
• Passage Re-ranking with BERT
• RULER: What's the Real Context Size of Your Long-Context Language Models?
• Simplified State Space Layers for Sequence Modeling
• Text Embeddings by Weakly-Supervised Contrastive Pre-training
• Unsupervised Dense Information Retrieval with Contrastive Learning
• AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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