Papers

• CAMeR: Keyword-Gated Hybrid Activation for Adaptive Memory Retention in LLM Agents (2026)
  Haowen Lai
  5.01
• One More Turn, Less Regret: A Regret-Based Multi-Turn Benchmark for LLMs' Clarification Policies (2026)
  Minh Ngoc Ta et al.
  5.01
• Progressive Cramming: Reliable Token Compression and What It Reveals (2026)
  Dmitrii Tarasov et al.
  5.01
• A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting - The CUP Dataset (2026)
  Katerina Papantoniou et al.
  5.01
• Anti-Periodic Positional Encoding: M\"obius Boundary Conditions Make In-Context Retrieval Reliable (2026)
  Ji Ho Bae
  5.01
• Extractable Memorization From First Principles (2026)
  A. Feder Cooper et al.
  4.39
• Inject or Navigate? Token-Efficient Retrieval for LLM Analysis of Transactional Legal Documents (2026)
  Mahmoud Hany et al.
  3.51
• CMDR: Contextual Multimodal Document Retrieval (2026)
  Ryota Tanaka et al.
  3.51
• When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers (2026)
  Yushi Sun et al.
  2.00
• Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling (2026)
  Xiang Hu et al.
  2.00
• Taste-aware music retrieval from audio embeddings (2026)
  Matteo Spanio et al.
  2.00
• ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes (2026)
  Qihao Zhao et al.
  2.00
• Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents (2026)
  Wenxuan Ding et al.
  1.94
• NGM: A Plug-and-Play Training-Free Memory Module for LLMs (2026)
  Yuwen Qu et al.
  1.94
• Is In-Context Learning Sufficient for Instruction Following in LLMs? (2024)
  Hao Zhao et al.
  —