LLMs
Latest breakthroughs in Large Language Models
Articles
When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval⭐8
A self-evolving LLM agent generates and refines query rewriting rules to enhance BM25 for legal case retrieval, outperforming static methods on LeCaRD-v2.
Beyond Parallel Sampling: Diverse Query Initialization for Agentic Search⭐10
Diverse query initialization (DivInit) boosts agentic search by replacing redundant parallel sampling, achieving 5-7% gains on multi-hop QA tasks.
Dr-DCI: Scaling Direct Corpus Interaction via Dynamic Workspace Expansion⭐9
Dr-DCI scales direct corpus interaction by dynamically expanding workspaces via retriever-steered actions, achieving 71.2% accuracy in Browsecomp-Plus benchmark...
A Definition of Good Explanations and the Challenges of Explaining LLM Outputs⭐9
This article defines a "good explanation" using counterfactuals and prior beliefs, then discusses key challenges in applying this definition to large language m...
Computer Science > Artificial Intelligence⭐9
UP-NRPA paper introduces user portrait-based nested rollout policy adaptation for improving LLM planning in goal-oriented dialogue systems.
A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem⭐7
A Transformer model trained on small OSSP instances generalizes to 100x100 problems, rivaling heuristics with 12-15% optimality gaps.
Arbor: Tree Search as a Cognition Layer for Autonomous Agents⭐8
Arbor is a multi-agent framework using structured tree search as a cognition layer for autonomous agents, enabling full-stack LLM inference optimization with up...
ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs⭐8
ToolSense diagnoses whether LLMs truly understand tools in agent systems, revealing a 50-64% performance gap between benchmark and real-world retrieval.
Position: Hippocampal Explicit Memory Is the Cornerstone for AGI⭐8
A position paper argues hippocampal explicit memory is essential for AGI, as LLMs rely on implicit memory and lack higher-order reasoning like planning.
From Explicit Elements to Implicit Intent: A Predefined Library for Auditable Behavioral Inference⭐7
A modular framework for auditable behavioral inference in e-commerce, prioritizing transparency over accuracy with structural governance for reproducible result...