← Authors

Lingpeng Kong

97 papers · 2014–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (11) 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (18) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (23) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (323) ❓ The Questioner (5) πŸ’Ž Century Club (96) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (18) πŸ”₯ Unstoppable (7)

Conferences

ACL (23) EMNLP (21) ICLR (20) ICML (9) NIPS (7) NAACL (6) AAAI (2) CVPR (2) IJCNLP (2) INTERSPEECH (2) COLING (1) EACL (1) ECCV (1)

Top co-authors

Zhiyong Wu (15) Lei Li (15) Jiahui Gao (12) Jiacheng Ye (12) Wei Bi (11) Lin Zheng (11) Qi Liu (11) Sheng wang (10) Shansan Gong (10) Chuan Wu (10)

Keywords

large language model (22) text generation (8) language model (6) in-context learning (5) language modeling (5) zero-shot learning (5) contrastive learning (4) representation learning (4) mathematical reasoning (4) knowledge distillation (4) text classification (4) few-shot learning (4) model compression (4) attention mechanism (4) large vision-language model (4) multimodal learning (3) semantic parsing (3) low-resource language (3) transformer architecture (3) question answering (3)

Papers

TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment AAAI 2026
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning ACL 2025
Reasoning Does Not Necessarily Improve Role-Playing Ability ACL 2025
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models ACL 2025
Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks COLING 2025
Non-myopic Generation of Language Models for Reasoning and Planning ICLR 2025
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models CVPR 2025
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image NAACL 2025
UNComp: Can Matrix Entropy Uncover Sparsity? β€” A Compressor Design from an Uncertainty-Aware Perspective EMNLP 2025
FactTrack: Time-Aware World State Tracking in Story Outlines NAACL 2025
Implicit Search via Discrete Diffusion: A Study on Chess ICLR 2025
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation ICML 2025
Teaching Language Models to Critique via Reinforcement Learning ICML 2025
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards ICLR 2025
How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models NAACL 2025
Temporal Reasoning Transfer from Text to Video ICLR 2025
Jailbreaking as a Reward Misspecification Problem ICLR 2025
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning ICLR 2025
QSpec: Speculative Decoding with Complementary Quantization Schemes EMNLP 2025
ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom EMNLP 2025
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition EMNLP 2025
Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models EMNLP 2025
Recipe2Plan: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions EMNLP 2025
Why Does the Effective Context Length of LLMs Fall Short? ICLR 2025
Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration ICLR 2025
G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model ICLR 2025
Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models ACL 2024
Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment EMNLP 2024
Self-Infilling Code Generation ICML 2024
Subgoal-based Demonstration Learning for Formal Theorem Proving ICML 2024
Training-Free Long-Context Scaling of Large Language Models ICML 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NIPS 2024
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA ACL 2024
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers ACL 2024
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving ACL 2024
Large Language Models are not Fair Evaluators ACL 2024
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models ACL 2024
L-Eval: Instituting Standardized Evaluation for Long Context Language Models ACL 2024
LoRA Meets Dropout under a Unified Framework ACL 2024
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation ACL 2024
Lemur: Harmonizing Natural Language and Code for Language Agents ICLR 2024
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models NIPS 2024
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis NAACL 2024
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning ICLR 2023
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering ACL 2023
A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment ACL 2023
Compositional Exemplars for In-context Learning ICML 2023
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation ACL 2023
SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation ACL 2023
Lego-MT: Learning Detachable Models for Massively Multilingual Machine Translation ACL 2023
Explanation Regeneration via Information Bottleneck ACL 2023
Fine-Grained Audible Video Description CVPR 2023
Unsupervised Explanation Generation via Correct Instantiations AAAI 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning NIPS 2023
Statistical Knowledge Assessment for Large Language Models NIPS 2023
Generating Data for Symbolic Language with Large Language Models EMNLP 2023
Can Language Models Understand Physical Concepts? EMNLP 2023
DetGPT: Detect What You Need via Reasoning EMNLP 2023
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models EMNLP 2023
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling ICML 2023
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models ICLR 2023
Efficient Attention via Control Variates ICLR 2023
Toeplitz Neural Network for Sequence Modeling ICLR 2023
cosFormer: Rethinking Softmax In Attention ICLR 2022
CoNT: Contrastive Neural Text Generation NIPS 2022
A Contrastive Framework for Neural Text Generation NIPS 2022
ABC: Attention with Bounded-memory Control ACL 2022
Lexical Knowledge Internalization for Neural Dialog Generation ACL 2022
Event Transition Planning for Open-ended Text Generation ACL 2022
Audioβ€”Visual Segmentation ECCV 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP 2022
The Devil in Linear Transformer EMNLP 2022
An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks EMNLP 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation EMNLP 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback EMNLP 2022
Revisiting Over-smoothing in BERT from the Perspective of Graph ICLR 2022
Ripple Attention for Visual Perception with Sub-quadratic Complexity ICML 2022
Linear Complexity Randomized Self-attention Mechanism ICML 2022
Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling NAACL 2022
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation IJCNLP 2021
Cascaded Head-colliding Attention ACL 2021
Random Feature Attention ICLR 2021
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation ACL 2021
Cascaded Head-colliding Attention IJCNLP 2021
A Mutual Information Maximization Perspective of Language Representation Learning ICLR 2020
Episodic Memory in Lifelong Language Learning NIPS 2019
Variational Smoothing in Recurrent Neural Network Language Models ICLR 2019
Multitask Learning with CTC and Segmental CRF for Speech Recognition INTERSPEECH 2017
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser EMNLP 2016
Segmental Recurrent Neural Networks for End-to-End Speech Recognition INTERSPEECH 2016
Bayesian Optimization of Text Representations EMNLP 2015
Transforming Dependencies into Phrase Structures NAACL 2015
A Dependency Parser for Tweets EMNLP 2014
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach EMNLP 2014