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Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning
2025-01
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Generative Emergent Communication: Large Language Model is a Collective World Model
2025-01
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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
2025-01
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Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective
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2 OLMo 2 Furious
2025-01
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Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension
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Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models
2025-01
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A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges
2025-01
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Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
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CALM: Curiosity-Driven Auditing for Large Language Models
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REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization
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Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
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AlphaPO: Reward Shape Matters for LLM Alignment
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More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
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Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought
2025-01
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Unlocking Multimodal Mathematical Reasoning via Process Reward Model
2025-01
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LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
2025-01
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Search-o1: Agentic Search-Enhanced Large Reasoning Models
2025-01
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2501.05790
Understanding Impact of Human Feedback via Influence Functions
2025-01
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2501.06248
Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models
2025-01
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2501.06252
Transformer-Squared: Self-adaptive LLMs
2025-01
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AlgoPilot: Fully Autonomous Program Synthesis Without Human-Written Programs
2025-01
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2501.06655
Personalized Preference Fine-tuning of Diffusion Models
2025-01
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DVM: Towards Controllable LLM Agents in Social Deduction Games
2025-01
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SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
2025-01
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Risk-Averse Finetuning of Large Language Models
2025-01
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Combining LLM decision and RL action selection to improve RL policy for adaptive interventions
2025-01
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2501.07324
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring
2025-01
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2501.07886
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
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CuAsmRL: Optimizing GPU SASS Schedules via Deep Reinforcement Learning
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Are DeepSeek R1 And Other Reasoning Models More Faithful?
2025-01
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2501.08598
LlamaRestTest: Effective REST API Testing with Small Language Models
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AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL
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Disentangling Exploration of Large Language Models by Optimal Exploitation
2025-01
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2501.09254
Clone-Robust AI Alignment
2025-01
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Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
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Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review
2025-01
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Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
2025-01
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iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
2025-01
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PaSa: An LLM Agent for Comprehensive Academic Paper Search
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GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation
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Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
2025-01
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Reasoning Language Models: A Blueprint
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RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
2025-01
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Neural Contextual Reinforcement Framework for Logical Structure Language Generation
2025-01
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Curiosity-Driven Reinforcement Learning from Human Feedback
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Trojan Detection Through Pattern Recognition for Large Language Models
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T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
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MedS^3: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision
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InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
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Compositional Instruction Following with Language Models and Reinforcement Learning
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O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning
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Kimi k1.5: Scaling Reinforcement Learning with LLMs
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Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression
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Online Preference Alignment for Language Models via Count-based Exploration
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
2025-01
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OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation
2025-01
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AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback
2025-01
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GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration
2025-01
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2501.13927
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation
2025-01
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Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language Game
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Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
2025-01
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Music Generation using Human-In-The-Loop Reinforcement Learning
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Data-adaptive Safety Rules for Training Reward Models
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TimeHF: Billion-Scale Time Series Models Guided by Human Feedback
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REINFORCE-ING Chemical Language Models for Drug Discovery
2025-01
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Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection
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Improving Vision-Language-Action Model with Online Reinforcement Learning
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xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking
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Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies
2025-01
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2501.17104
COS(M+O)S: Curiosity and RL-Enhanced MCTS for Exploring Story Space via Language Models
2025-01
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2501.17112
Decoding Human Preferences in Alignment: An Improved Approach to Inverse Constitutional AI
2025-01
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AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
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2501.17206
Integrating Reinforcement Learning and AI Agents for Adaptive Robotic Interaction and Assistance in Dementia Care
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2501.17974
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
2025-01
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2501.18101
Diverse Preference Optimization
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2501.18663
Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems
2025-01
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Simulation Streams: A Programming Paradigm for Controlling Large Language Models and Building Complex Systems with Generative AI
2025-01
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2501.18858
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
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2501.18880
RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception
2025-01
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Test-Time Training Scaling Laws for Chemical Exploration in Drug Design
2025-01
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Jackpot! Alignment as a Maximal Lottery
2025-01
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The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
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2501.19400
Vintix: Action Model via In-Context Reinforcement Learning
2025-01
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2502.00212
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
2025-02
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2502.00409
Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems
2025-02
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2502.00640
CollabLLM: From Passive Responders to Active Collaborators
2025-02
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LLM Safety Alignment is Divergence Estimation in Disguise
2025-02
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2502.00666
Avoiding exp(R_{max)} scaling in RLHF through Preference-based Exploration
2025-02
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To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
2025-02
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MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models
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RTBAgent: A LLM-based Agent System for Real-Time Bidding
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Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling
2025-02
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2502.01203
KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
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2502.01208
On Almost Surely Safe Alignment of Large Language Models at Inference-Time
2025-02
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2502.01236
Eliciting Language Model Behaviors with Investigator Agents
2025-02
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2502.01237
The Differences Between Direct Alignment Algorithms are a Blur
2025-02
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2502.01387
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
2025-02
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Process Reinforcement through Implicit Rewards
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