PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
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2410.13785
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Published
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19
Align
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Aligning Large Language Models via Self-Steering Optimization
Paper • 2410.17131 • Published • 23 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 52 -
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation
Paper • 2410.14745 • Published • 48 -
RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
Paper • 2410.16184 • Published • 25 -
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Paper • 2410.18451 • Published • 20 -
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch
Paper • 2410.18693 • Published • 43 -
A Critical Evaluation of AI Feedback for Aligning Large Language Models
Paper • 2402.12366 • Published • 3 -
WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
Paper • 2411.02337 • Published • 38 -
SelfCodeAlign: Self-Alignment for Code Generation
Paper • 2410.24198 • Published • 25 -
Constraint Back-translation Improves Complex Instruction Following of Large Language Models
Paper • 2410.24175 • Published • 18 -
Accelerating Direct Preference Optimization with Prefix Sharing
Paper • 2410.20305 • Published • 6 -
Self-Consistency Preference Optimization
Paper • 2411.04109 • Published • 19 -
Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model
Paper • 2411.04496 • Published • 24 -
Direct Preference Optimization Using Sparse Feature-Level Constraints
Paper • 2411.07618 • Published • 17 -
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
Paper • 2411.14199 • Published • 32 -
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction
Paper • 2412.04262 • Published • 5 -
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
Paper • 2412.04862 • Published • 51 -
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale
Paper • 2412.05237 • Published • 48 -
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
Paper • 2412.06676 • Published • 9 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
Paper • 2501.12895 • Published • 62 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 123 -
Data Valuation using Neural Networks for Efficient Instruction Fine-Tuning
Paper • 2502.09969 • Published • 1 -
DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
Paper • 2508.14460 • Published • 80 -
TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
Paper • 2508.17445 • Published • 77 -
Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Paper • 2509.04292 • Published • 41