Lingpeng Kong

TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment AAAI 2026 Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play ACL 2026 OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows ACL 2026 ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models ACL 2026 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 Implicit Search via Discrete Diffusion: A Study on Chess ICLR 2025 G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model ICLR 2025 Why Does the Effective Context Length of LLMs Fall Short? ICLR 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025 Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration ICLR 2025 Temporal Reasoning Transfer from Text to Video ICLR 2025 UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective EMNLP 2025 QSpec: Speculative Decoding with Complementary Quantization Schemes EMNLP 2025 ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom EMNLP 2025 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 How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models NAACL 2025 VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models CVPR 2025 ParallelComp: Parallel Long-Context Compressor for Length Extrapolation ICML 2025 Teaching Language Models to Critique via Reinforcement Learning ICML 2025 Jailbreaking as a Reward Misspecification Problem ICLR 2025 MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards ICLR 2025 Non-myopic Generation of Language Models for Reasoning and Planning ICLR 2025 Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning ICLR 2025 ImgTrojan: Jailbreaking Vision-Language Models with ONE Image NAACL 2025 FactTrack: Time-Aware World State Tracking in Story Outlines NAACL 2025 AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NIPS 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 Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models NIPS 2024 Lemur: Harmonizing Natural Language and Code for Language Agents ICLR 2024 VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment EMNLP 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 BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models ACL 2024 Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis NAACL 2024 Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024 DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models ICLR 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 Unsupervised Explanation Generation via Correct Instantiations AAAI 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 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 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 Efficient Attention via Control Variates ICLR 2023 Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning ICLR 2023 Toeplitz Neural Network for Sequence Modeling ICLR 2023 Compositional Exemplars for In-context Learning ICML 2023 CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling ICML 2023 cosFormer: Rethinking Softmax In Attention ICLR 2022 ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback EMNLP 2022 ZeroGen: Efficient Zero-shot Learning via Dataset Generation EMNLP 2022 An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks EMNLP 2022 The Devil in Linear Transformer EMNLP 2022 UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP 2022 Ripple Attention for Visual Perception with Sub-quadratic Complexity ICML 2022 Linear Complexity Randomized Self-attention Mechanism ICML 2022 A Contrastive Framework for Neural Text Generation NIPS 2022 CoNT: Contrastive Neural Text Generation NIPS 2022 Audio—Visual Segmentation ECCV 2022 Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling NAACL 2022 Event Transition Planning for Open-ended Text Generation ACL 2022 Lexical Knowledge Internalization for Neural Dialog Generation ACL 2022 ABC: Attention with Bounded-memory Control ACL 2022 Revisiting Over-smoothing in BERT from the Perspective of Graph ICLR 2022 Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation ACL 2021 Cascaded Head-colliding Attention ACL 2021 Cascaded Head-colliding Attention IJCNLP 2021 Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation IJCNLP 2021 Random Feature Attention ICLR 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 What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017 Multitask Learning with CTC and Segmental CRF for Speech Recognition INTERSPEECH 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 Transforming Dependencies into Phrase Structures NAACL 2015 Bayesian Optimization of Text Representations EMNLP 2015 Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach EMNLP 2014 A Dependency Parser for Tweets EMNLP 2014