:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Jincheng, Zhang, Yucheng, Gao, Jianfei, Zhou, Yangze, Ribeiro, Bruno
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	https://arxiv.org/abs/2302.01313
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

QOG:Question and Options Generation based on Language Model
by: Zhou, Jincheng
Published: (2024)

Inductive Entity Representations from Text via Link Prediction
by: Daza, Daniel, et al.
Published: (2020)

Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs
by: Betley, Jan, et al.
Published: (2025)

Reevaluation of Inductive Link Prediction
by: Ott, Simon, et al.
Published: (2024)

Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors
by: Zhou, Yangze, et al.
Published: (2025)

A Foundation Model for Zero-shot Logical Query Reasoning
by: Galkin, Mikhail, et al.
Published: (2024)

Hypothesis Generation and Inductive Inference in Children and Language Models
by: Qin, Jeffrey, et al.
Published: (2026)

Each Graph is a New Language: Graph Learning with LLMs
by: Zhou, Huachi, et al.
Published: (2025)

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
by: Ye, Yuanchang, et al.
Published: (2025)

HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
by: Zhou, Chuhao, et al.
Published: (2025)

EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization
by: Han, Kevin, et al.
Published: (2026)

Mars: Situated Inductive Reasoning in an Open-World Environment
by: Tang, Xiaojuan, et al.
Published: (2024)

$\textit{New News}$: System-2 Fine-tuning for Robust Integration of New Knowledge
by: Park, Core Francisco, et al.
Published: (2025)

The Role of Deductive and Inductive Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)

Group Relative Knowledge Distillation: Learning from Teacher's Relational Inductive Bias
by: Li, Chao, et al.
Published: (2025)

Differentiable Constraint-Based Causal Discovery
by: Zhou, Jincheng, et al.
Published: (2025)

Hypothesis Search: Inductive Reasoning with Language Models
by: Wang, Ruocheng, et al.
Published: (2023)

On the Inductive Bias of Stacking Towards Improving Reasoning
by: Saunshi, Nikunj, et al.
Published: (2024)

Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
by: Pichat, Michael, et al.
Published: (2025)

Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
by: Yin, Gongzhu, et al.
Published: (2025)

L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
by: Liang, Qiuyu, et al.
Published: (2024)

One Model for All: Multi-Objective Controllable Language Models
by: He, Qiang, et al.
Published: (2026)

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
by: Shi, Yucheng, et al.
Published: (2024)

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation
by: Chen, Daiwei, et al.
Published: (2026)

Training the Untrainable: Introducing Inductive Bias via Representational Alignment
by: Subramaniam, Vighnesh, et al.
Published: (2024)

Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences
by: Yang, Yuzhou, et al.
Published: (2024)

HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling
by: Zhou, Chulun, et al.
Published: (2025)

FaKnow: A Unified Library for Fake News Detection
by: Zhu, Yiyuan, et al.
Published: (2024)

Fine-Tuning is Subgraph Search: A New Lens on Learning Dynamics
by: Li, Yueyan, et al.
Published: (2025)

Understanding World or Predicting Future? A Comprehensive Survey of World Models
by: Ding, Jingtao, et al.
Published: (2024)

Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
by: Zhou, Yucheng, et al.
Published: (2025)

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
by: Kuciński, Łukasz, et al.
Published: (2021)

Program Synthesis using Inductive Logic Programming for the Abstraction and Reasoning Corpus
by: Rocha, Filipe Marinho, et al.
Published: (2024)

PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts
by: Rogoz, Ana-Cristina, et al.
Published: (2024)

MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
by: Manzoor, Muhammad Arslan, et al.
Published: (2024)

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs
by: Huang, Xingyue, et al.
Published: (2025)

CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
by: Wei, Anjiang, et al.
Published: (2025)

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
by: Liu, Tianyu, et al.
Published: (2024)

When Two LLMs Debate, Both Think They'll Win
by: Prasad, Pradyumna Shyama, et al.
Published: (2025)

Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problem
by: Court, Sara, et al.
Published: (2024)