conftrace_

performance improvement

11 papers

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Co-occurring keywords · papers mentioning both

large language model (4) inference scaling (1) tool calling (1) model-free algorithm (1) magnitude pruning (1) answer synthesis (1) value-based agent (1) reasoning step (1) dataset synthesis (1) clinical dataset (1)

Papers

CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis ACL 2025 Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding? ICML 2025 Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025 A LUPI distillation-based approach: Application to predicting Proximal Junctional Kyphosis MLHC 2024 In value-based deep reinforcement learning, a pruned network is a good network ICML 2024 LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024 LoRA+: Efficient Low Rank Adaptation of Large Models ICML 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning ICML 2024 The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm ICML 2024 Towards Uncertainty-Aware Language Agent ACL 2024 Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption ICML 2024