CARL: Aggregated Search with Context-Aware Module Embedding Learning. - Xinting Huang; Jianzhong Qi 001; Yu Sun 021; Rui Zhang 003; Hai-Tao Zheng 002 (IJCNN, 2019)

Enhancing intraday stock price manipulation detection by leveraging recurrent neural networks with ensemble learning. - Qili Wang; Wei Xu 008; Xinting Huang; Kunlin Yang (Neurocomputing, 2019)

MALA: Cross-Domain Dialogue Generation with Action Learning. - Xinting Huang; Jianzhong Qi 001; Yu Sun 021; Rui Zhang 003 (AAAI, 2020)

Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation. - Xinting Huang; Jianzhong Qi 001; Yu Sun 021; Rui Zhang 003 (ACL, 2020)

Generalizable and Explainable Dialogue Generation via Explicit Action Learning. - Xinting Huang; Jianzhong Qi 001; Yu Sun 021; Rui Zhang 003 (EMNLP (Findings), 2020)

KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension and Generation. - Jiajing Wan; Xinting Huang (SemEval@COLING, 2020)

Latent Reasoning for Low-Resource Question Generation. - Xinting Huang; Jianzhong Qi 001; Yu Sun 021; Rui Zhang 003 (ACL/IJCNLP (Findings), 2021)

Profiling Irony and Stereotype Spreaders with Language Models and Bayes' Theorem. - Xinting Huang (CLEF (Working Notes), 2022)

Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. - Shiquan Yang; Xinting Huang; Jey Han Lau; Sarah M. Erfani (EMNLP (Findings), 2022)

Effidit: Your AI Writing Assistant. - Shuming Shi 001; Enbo Zhao; Duyu Tang; Yan Wang 060; Piji Li; Wei Bi; Haiyun Jiang; Guoping Huang; Leyang Cui; Xinting Huang; Cong Zhou; Yong Dai 001; et al. (CoRR, 2022)

Towards dialogue system training with little labeling effort. - Xinting Huang (2022)

Effidit: An Assistant for Improving Writing Efficiency. - Shuming Shi 001; Enbo Zhao; Wei Bi; Deng Cai 002; Leyang Cui; Xinting Huang; Haiyun Jiang; Duyu Tang; Kaiqiang Song; Longyue Wang; Chenyan Huang; Guoping Huang; et al. (ACL (demo), 2023)

Pre-training Multi-party Dialogue Models with Latent Discourse Inference. - Yiyang Li 002; Xinting Huang; Wei Bi; Hai Zhao 001 (ACL (1), 2023)

Long-Range Language Modeling with Selective Cache. - Xinting Huang; Nora Hollenstein (EMNLP (Findings), 2023)

Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration. - Fanqi Wan; Xinting Huang; Tao Yang 033; Xiaojun Quan; Wei Bi; Shuming Shi 001 (EMNLP, 2023)

Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance. - Yue Zhang 004; Leyang Cui; Deng Cai 002; Xinting Huang; Tao Fang; Wei Bi (CoRR, 2023)

Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration. - Chenyang Lyu; Minghao Wu; Longyue Wang; Xinting Huang; Bingshuai Liu; Zefeng Du; Shuming Shi 001; Zhaopeng Tu (CoRR, 2023)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. - Yue Zhang 004; Yafu Li; Leyang Cui; Deng Cai 002; Lemao Liu; Tingchen Fu; Xinting Huang; Enbo Zhao; Yu Zhang 092; Yulong Chen 001; Longyue Wang; Anh Tuan Luu; et al. (CoRR, 2023)

TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design. - Yongrui Chen 002; Haiyun Jiang; Xinting Huang; Shuming Shi 001; Guilin Qi (CoRR, 2023)

Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks. - Xinting Huang; Jiajing Wan; Ioannis Kritikos; Nora Hollenstein (CoRR, 2023)

SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. - Xueliang Zhao; Xinting Huang; Wei Bi; Lingpeng Kong (ACL (1), 2024)

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. - Xueliang Zhao; Xinting Huang; Tingchen Fu; Qintong Li; Shansan Gong; Lemao Liu; Wei Bi; Lingpeng Kong (ACL (Findings), 2024)

Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning. - Sen Yang 005; Leyang Cui; Deng Cai 002; Xinting Huang; Shuming Shi 001; Wai Lam (EMNLP (Findings), 2024)

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. - Tsz Ting Chung; Leyang Cui; Lemao Liu; Xinting Huang; Shuming Shi 001; Dit-Yan Yeung (EMNLP (Findings), 2024)

Knowledge Verification to Nip Hallucination in the Bud. - Fanqi Wan; Xinting Huang; Leyang Cui; Xiaojun Quan; Wei Bi; Shuming Shi 001 (EMNLP, 2024)

Knowledge Fusion of Large Language Models. - Fanqi Wan; Xinting Huang; Deng Cai 002; Xiaojun Quan; Wei Bi; Shuming Shi 001 (ICLR, 2024)

See or Guess: Counterfactually Regularized Image Captioning. - Qian Cao 001; Xu Chen 017; Ruihua Song; Xiting Wang; Xinting Huang; Yuchen Ren 005 (ACM Multimedia, 2024)

DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping. - Yongrui Chen 002; Haiyun Jiang; Xinting Huang; Shuming Shi 001; Guilin Qi (NAACL-HLT, 2024)

InversionView: A General-Purpose Method for Reading Information from Neural Activations. - Xinting Huang; Madhur Panwar; Navin Goyal; Michael Hahn 001 (NeurIPS, 2024)

Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models. - Shuming Shi 001; Enbo Zhao; Deng Cai 002; Leyang Cui; Xinting Huang; Huayang Li (CoRR, 2024)

Mitigating Hallucinations of Large Language Models via Knowledge Consistent Alignment. - Fanqi Wan; Xinting Huang; Leyang Cui; Xiaojun Quan; Wei Bi; Shuming Shi 001 (CoRR, 2024)

FuseChat: Knowledge Fusion of Chat Models. - Fanqi Wan; Ziyi Yang; Longguang Zhong; Xiaojun Quan; Xinting Huang; Wei Bi (CoRR, 2024)

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt. - Deng Cai 002; Huayang Li; Tingchen Fu; Siheng Li; Weiwen Xu; Shuaiyi Li; Bowen Cao; Zhisong Zhang; Xinting Huang; Leyang Cui; Yan Wang 060; Lemao Liu; et al. (CoRR, 2024)

Atomic Calibration of LLMs in Long-Form Generations. - Caiqi Zhang; Ruihan Yang; Zhisong Zhang; Xinting Huang; Sen Yang; Dong Yu 001; Nigel Collier (CoRR, 2024)

A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression. - Chenlong Deng; Zhisong Zhang; Kelong Mao; Shuaiyi Li; Xinting Huang; Dong Yu 001; Zhicheng Dou (ACL (1), 2025)

LoGU: Long-form Generation with Uncertainty Expressions. - Ruihan Yang; Caiqi Zhang; Zhisong Zhang; Xinting Huang; Sen Yang; Nigel Collier; Dong Yu 001; Deqing Yang (ACL (1), 2025)

Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models. - Zhisong Zhang; Yan Wang 060; Xinting Huang; Tianqing Fang; Hongming Zhang 009; Chenlong Deng; Shuaiyi Li; Dong Yu 001 (ACL (1), 2025)

A Formal Framework for Understanding Length Generalization in Transformers. - Xinting Huang; Andy Yang; Satwik Bhattamishra; Yash Raj Sarrof; Andreas Krebs; Hattie Zhou; Preetum Nakkiran; Michael Hahn 001 (ICLR, 2025)

Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers. - Alireza Amiri; Xinting Huang; Mark Rofin; Michael Hahn 001 (CoRR, 2025)

Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B. - Aleksandra Bakalova; Yana Veitsman; Xinting Huang; Michael Hahn 001 (CoRR, 2025)

Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training. - Xinsong Zhang; Yarong Zeng; Xinting Huang; Hu Hu; Runquan Xie; Han Hu; Zhanhui Kang (CoRR, 2025)

UNCLE: Uncertainty Expressions in Long-Form Generation. - Ruihan Yang; Caiqi Zhang; Zhisong Zhang; Xinting Huang; Dong Yu 001; Nigel Collier; Deqing Yang (CoRR, 2025)

Tug-of-war between idiom's figurative and literal meanings in LLMs. - Soyoung Oh; Xinting Huang; Mathis Pink; Michael Hahn 001; Vera Demberg (CoRR, 2025)