Lingpeng Kong

papers

919

total citations

papers (16)

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning

NEURIPS 2023arXiv

citations

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

CVPR 2025arXiv

citations

Training-Free Long-Context Scaling of Large Language Models

ICML 2024arXiv

citations

Subgoal-based Demonstration Learning for Formal Theorem Proving

ICML 2024arXiv

citations

CoNT: Contrastive Neural Text Generation

NEURIPS 2022arXiv

citations

Teaching Language Models to Critique via Reinforcement Learning

ICML 2025arXiv

citations

Fine-Grained Audible Video Description

CVPR 2023arXiv

citations

Implicit Search via Discrete Diffusion: A Study on Chess

ICLR 2025arXiv

citations

Statistical Knowledge Assessment for Large Language Models

NEURIPS 2023arXiv

citations

Self-Infilling Code Generation

ICML 2024arXiv

citations

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

NEURIPS 2025arXiv

citations

Audio—Visual Segmentation

ECCV 2022

citations

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces

NEURIPS 2025arXiv

citations

Lingpeng Kong

papers (16)

A Contrastive Framework for Neural Text Generation

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Training-Free Long-Context Scaling of Large Language Models

Subgoal-based Demonstration Learning for Formal Theorem Proving

CoNT: Contrastive Neural Text Generation

Teaching Language Models to Critique via Reinforcement Learning

Fine-Grained Audible Video Description

Implicit Search via Discrete Diffusion: A Study on Chess

Statistical Knowledge Assessment for Large Language Models

Self-Infilling Code Generation

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

Audio—Visual Segmentation

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces

papers (16)

A Contrastive Framework for Neural Text Generation

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Training-Free Long-Context Scaling of Large Language Models

Subgoal-based Demonstration Learning for Formal Theorem Proving

CoNT: Contrastive Neural Text Generation

Teaching Language Models to Critique via Reinforcement Learning

Fine-Grained Audible Video Description

Implicit Search via Discrete Diffusion: A Study on Chess

Statistical Knowledge Assessment for Large Language Models

Self-Infilling Code Generation

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

Audio—Visual Segmentation

DynaAct: Large Language Model Reasoning with Dynamic Action Spaces