2025
MorphBungee: A 65-nm 7.2-mm<sup>2</sup> 27-µJ/Image Digital Edge Neuromorphic Chip With on-Chip 802-Frame/s Multi-Layer Spiking Neural Network Learning.
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IEEE Trans. Biomed. Circuits Syst., February, 2025
2024
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis.
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CoRR, 2024
Diving into Self-Evolving Training for Multimodal Reasoning.
CoRR, 2024
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners.
CoRR, 2024
Non-myopic Generation of Language Models for Reasoning and Planning.
CoRR, 2024
Can ChatGPT assist visually impaired people with micro-navigation?
CoRR, 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.
CoRR, 2024
Compression Represents Intelligence Linearly.
CoRR, 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models.
CoRR, 2024
GeoGalactica: A Scientific Large Language Model in Geoscience.
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CoRR, 2024
A visual cortex-inspired edge neuromorphic hardware architecture with on-chip multi-layer STDP learning.
Comput. Electr. Eng., 2024
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
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Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Belief Revision: The Adaptability of Large Language Models Reasoning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
On the Universal Truthfulness Hyperplane Inside LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.
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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Prompt Optimization via Adversarial In-Context Learning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
InstructCoder: Instruction Tuning Large Language Models for Code Editing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
2023
An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips.
IEEE Trans. Circuits Syst. I Regul. Pap., November, 2023
An Edge Neuromorphic Hardware With Fast On-Chip Error-Triggered Learning on Compressive Sensed Spikes.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023
Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests.
Sci. China Inf. Sci., May, 2023
A Survey of Reasoning with Foundation Models.
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CoRR, 2023
Prompt Optimization via Adversarial In-Context Learning.
CoRR, 2023
InstructCoder: Empowering Language Models for Code Editing.
CoRR, 2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning.
CoRR, 2023
FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.
CoRR, 2023
Composing Parameter-Efficient Modules with Arithmetic Operations.
CoRR, 2023
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.
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CoRR, 2023
Automatic Model Selection with Large Language Models for Reasoning.
CoRR, 2023
Evaluating Factual Consistency of Summaries with Large Language Models.
CoRR, 2023
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding.
CoRR, 2023
Composing Parameter-Efficient Modules with Arithmetic Operation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Self-Evaluation Guided Beam Search for Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.
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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
FELM: Benchmarking Factuality Evaluation of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Mega: Moving Average Equipped Gated Attention.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Automatic Model Selection with Large Language Models for Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Contrastive Learning of Sentence Embeddings from Scratch.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
MorphBungee: A 65nm 7.2mm<sup>2</sup> 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning.
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Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023
Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip.
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Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity.
IEEE Trans. Biomed. Circuits Syst., 2022
Non-Parametric Temporal Adaptation for Social Media Topic Classification.
CoRR, 2022
TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity.
Proceedings of the 2022 IEEE International Conference on Integrated Circuits, 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval.
Proceedings of the International Conference on Machine Learning, 2022
Capturing Structural Locality in Non-parametric Language Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Towards a Unified View of Parameter-Efficient Transfer Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Prompt Consistency for Zero-Shot Task Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
CTRLsum: Towards Generic Controllable Text Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
MorphBungee: An Edge Neuromorphic Chip for High-Accuracy On-Chip Learning of Multiple-Layer Spiking Neural Networks.
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Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
2021
DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features.
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Neurocomputing, 2021
TripleBrain: An Edge Neuromorphic Architecture for High-accuracy Single-layer Spiking Neural Network with On-chip Self-organizing and Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021
A Pixel-Parallel Array Processor without Computational Logic for Computational Image Sensors.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021
Efficient Nearest Neighbor Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
The Source-Target Domain Mismatch Problem in Machine Translation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Dependency Induction Through the Lens of Visual Perception.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021
2020
A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification.
Sensors, 2020
Learning Sparse Prototypes for Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
A High-speed Low-cost CNN Inference Accelerator for Depthwise Separable Convolution.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020
A Probabilistic Formulation of Unsupervised Text Style Transfer.
Proceedings of the 8th International Conference on Learning Representations, 2020
Revisiting Self-Training for Neural Sequence Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020
On the Sentence Embeddings from Pre-trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders.
Proceedings of the 7th International Conference on Learning Representations, 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
20, 000-fps Visual Motion Magnification on Pixel-parallel Vision Chip.
Proceedings of the 13th IEEE International Conference on ASIC, 2019
Choosing Transfer Languages for Cross-Lingual Learning.
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Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
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Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
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CoRR, 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Efficient Correlated Topic Modeling with Topic Embedding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
2016
Text Network Exploration via Heterogeneous Web of Topics.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016