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ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents
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RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning
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A Survey of Automatic Prompt Optimization with Instruction-focused Heuristic-based Search Algorithm
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SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization
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The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs
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Transaction Categorization with Relational Deep Learning in QuickBooks
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Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation
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Modality-Specialized Synergizers for Interleaved Vision-Language Generalists
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Learning to Search Effective Example Sequences for In-Context Learning
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Towards Statistical Factuality Guarantee for Large Vision-Language Models
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HyQE: Ranking Contexts with Hypothetical Query Embeddings
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Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution
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Data-Driven Discovery of Conservation Laws from Trajectories via Neural Deflation
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SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
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SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
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Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery
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Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision
