PengFei Liu
- Papers
- 83
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Authored papers
83SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture
arXiv 2026
ASI-Evolve: AI Accelerates AI
arXiv 2026
Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model
arXiv 2026
daVinci-Env: Open SWE Environment Synthesis at Scale
arXiv 2026
Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks
arXiv 2026
LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model
arXiv 2026
Hybrid Policy Distillation for LLMs
arXiv 2026
daVinci-LLM:Towards the Science of Pretraining
arXiv 2026
LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces
arXiv 2026
AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts
arXiv 2026
One Sample to Rule Them All: Extreme Data Efficiency in RL Scaling
arXiv 2026
daVinci-Dev: Agent-native Mid-training for Software Engineering
arXiv 2026
AcademiClaw: When Students Set Challenges for AI Agents
arXiv 2026
daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently
arXiv 2026
PRBench: End-to-end Paper Reproduction in Physics Research
arXiv 2026
Data Darwinism Part I: Unlocking the Value of Scientific Data for Pre-training
arXiv 2026
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
arXiv 2025
Seed1.5-VL Technical Report
arXiv 2025
Thinking with Generated Images
arXiv 2025
LIMO: Less is More for Reasoning
arXiv 2025
DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
arXiv 2025
Generative AI Act II: Test Time Scaling Drives Cognition Engineering
arXiv 2025
Efficient Agent Training for Computer Use
arXiv 2025
LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation
arXiv 2025
SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling
arXiv 2025
GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization
arXiv 2025
Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight
arXiv 2025
LIMR: Less is More for RL Scaling
arXiv 2025
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
arXiv 2025
O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning
arXiv 2025
DIVE: Diversified Iterative Self-Improvement
arXiv 2025
One RL to See Them All: Visual Triple Unified Reinforcement Learning
arXiv 2025
UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
arXiv 2025
MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning
arXiv 2025
LIMI: Less is More for Agency
arXiv 2025
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
arXiv 2025
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
arXiv 2025
Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States
arXiv 2025
RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing
arXiv 2025
Visual Programmability: A Guide for Code-as-Thought in Chart Understanding
arXiv 2025
Halu-J: Critique-Based Hallucination Judge
arXiv 2024
PC Agent: While You Sleep, AI Works -- A Cognitive Journey into Digital World
arXiv 2024
O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?
arXiv 2024
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
arXiv 2024
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation
arXiv 2024
ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation
arXiv 2024
OpenResearcher: Unleashing AI for Accelerated Scientific Research
arXiv 2024
Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale
arXiv 2024
OlympicArena Medal Ranks: Who Is the Most Intelligent AI So Far?
arXiv 2024
Extending LLMs' Context Window with 100 Samples
arXiv 2024
Evaluating Mathematical Reasoning Beyond Accuracy
arXiv 2024
Weak-to-Strong Reasoning
arXiv 2024
Benchmarking Benchmark Leakage in Large Language Models
arXiv 2024
InFoBench: Evaluating Instruction Following Ability in Large Language Models
arXiv 2024
Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate
arXiv 2024
The Critique of Critique
arXiv 2024
BeHonest: Benchmarking Honesty in Large Language Models
arXiv 2024
Reformatted Alignment
arXiv 2024
Dissecting Human and LLM Preferences
arXiv 2024
A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions
arXiv 2024
A quantitative analysis of knowledge-learning preferences in large language models in molecular science
arXiv 2024
Understanding Reference Policies in Direct Preference Optimization
arXiv 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models
arXiv 2024
ECon: On the Detection and Resolution of Evidence Conflicts
arXiv 2024
FELM: Benchmarking Factuality Evaluation of Large Language Models
NeurIPS 2023 11
Alignment for Honesty
arXiv 2023
MathPile: A Billion-Token-Scale Pretraining Corpus for Math
arXiv 2023
Generative Judge for Evaluating Alignment
arXiv 2023
GPTScore: Evaluate as You Desire
arXiv 2023
Align on the Fly: Adapting Chatbot Behavior to Established Norms
arXiv 2023
On Learning to Summarize with Large Language Models as References
arXiv 2023
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions
arXiv 2023
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
arXiv 2023
How Far Are LLMs from Believable AI? A Benchmark for Evaluating the Believability of Human Behavior Simulation
arXiv 2023
BRIO: Bringing Order to Abstractive Summarization
ACL 2022 5
Towards a Unified Multi-Dimensional Evaluator for Text Generation
arXiv 2022
reStructured Pre-training
arXiv 2022
I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
arXiv 2022
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
arXiv 2022
BARTScore: Evaluating Generated Text as Text Generation
NeurIPS 2021 12
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
EMNLP 2021 11
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
arXiv 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
ACL 2021 5
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