Xinting Huang

Orcid: 0000-0001-6827-7426

According to our database1, Xinting Huang authored at least 36 papers between 2019 and 2024.

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Bibliography

2024
LoGU: Long-form Generation with Uncertainty Expressions.
CoRR, 2024

Atomic Calibration of LLMs in Long-Form Generations.
CoRR, 2024

A Formal Framework for Understanding Length Generalization in Transformers.
CoRR, 2024

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt.
CoRR, 2024

InversionView: A General-Purpose Method for Reading Information from Neural Activations.
CoRR, 2024

FuseChat: Knowledge Fusion of Chat Models.
CoRR, 2024

Mitigating Hallucinations of Large Language Models via Knowledge Consistent Alignment.
CoRR, 2024

Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models.
CoRR, 2024

DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

See or Guess: Counterfactually Regularized Image Captioning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Knowledge Fusion of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledge Verification to Nip Hallucination in the Bud.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks.
CoRR, 2023

TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design.
CoRR, 2023

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR, 2023

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration.
CoRR, 2023

Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance.
CoRR, 2023

Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Long-Range Language Modeling with Selective Cache.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pre-training Multi-party Dialogue Models with Latent Discourse Inference.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Effidit: An Assistant for Improving Writing Efficiency.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Towards dialogue system training with little labeling effort.
PhD thesis, 2022

Effidit: Your AI Writing Assistant.
CoRR, 2022

Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Profiling Irony and Stereotype Spreaders with Language Models and Bayes' Theorem.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021
Latent Reasoning for Low-Resource Question Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension and Generation.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Generalizable and Explainable Dialogue Generation via Explicit Action Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

MALA: Cross-Domain Dialogue Generation with Action Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Enhancing intraday stock price manipulation detection by leveraging recurrent neural networks with ensemble learning.
Neurocomputing, 2019

CARL: Aggregated Search with Context-Aware Module Embedding Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019


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