:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Yuepei, Zhou, Kang, Qiao, Qiao, Nguyen, Bach, Wang, Qing, Li, Qi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2409.10955
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
by: Qiao, Qiao, et al.
Published: (2023)

Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation
by: Qiao, Qiao, et al.
Published: (2024)

Towards a More Generalized Approach in Open Relation Extraction
by: Wang, Qing, et al.
Published: (2025)

Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach
by: Li, Yuepei, et al.
Published: (2024)

Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
by: Ju, Li, et al.
Published: (2026)

Context-DPO: Aligning Language Models for Context-Faithfulness
by: Bi, Baolong, et al.
Published: (2024)

Large Language Models are In-Context Molecule Learners
by: Li, Jiatong, et al.
Published: (2024)

Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
by: Qiao, Boyu, et al.
Published: (2026)

FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
by: Yang, Nakyeong, et al.
Published: (2025)

To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts
by: Huang, Yukun, et al.
Published: (2024)

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
by: Ming, Yifei, et al.
Published: (2024)

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
by: Luo, Linhao, et al.
Published: (2023)

Incoherent Probability Judgments in Large Language Models
by: Zhu, Jian-Qiao, et al.
Published: (2024)

ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models
by: Anand, Nikhil, et al.
Published: (2026)

FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)

Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
by: Li, Taiji, et al.
Published: (2024)

Empowering Working Memory for Large Language Model Agents
by: Guo, Jing, et al.
Published: (2023)

A Unified Framework for Emotion Recognition and Sentiment Analysis via Expert-Guided Multimodal Fusion with Large Language Models
by: Qiao, Jiaqi, et al.
Published: (2026)

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
by: Si, Shuzheng, et al.
Published: (2025)

From Context to EDUs: Faithful and Structured Context Compression via Elementary Discourse Unit Decomposition
by: Zhou, Yiqing, et al.
Published: (2025)

Eliciting Trustworthiness Priors of Large Language Models via Economic Games
by: Yan, Siyu, et al.
Published: (2026)

Closing the Confidence-Faithfulness Gap in Large Language Models
by: Miao, Miranda Muqing, et al.
Published: (2026)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
by: Hua, Wenyue, et al.
Published: (2024)

MemoryRewardBench: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models
by: Tang, Zecheng, et al.
Published: (2026)

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models
by: Zheng, Zaiyi, et al.
Published: (2025)

When Context Leads but Parametric Memory Follows in Large Language Models
by: Tao, Yufei, et al.
Published: (2024)

Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
by: Thulke, David, et al.
Published: (2025)

Personalized Large Language Model Assistant with Evolving Conditional Memory
by: Yuan, Ruifeng, et al.
Published: (2023)

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
by: Zhu, Jian-Qiao, et al.
Published: (2025)

Memory, Consciousness and Large Language Model
by: Li, Jitang, et al.
Published: (2024)

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
by: Tang, Xiaqiang, et al.
Published: (2025)

The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
by: Siegel, Noah Y., et al.
Published: (2024)

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
by: Gutiérrez, Bernal Jiménez, et al.
Published: (2025)

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints
by: Zhu, Jian-Qiao, et al.
Published: (2025)

Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo
by: Zhu, Jian-Qiao, et al.
Published: (2024)

Inference-Time Language Model Alignment via Integrated Value Guidance
by: Liu, Zhixuan, et al.
Published: (2024)

QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
by: Wang, Wei, et al.
Published: (2024)

Large Language Models are Miscalibrated In-Context Learners
by: Li, Chengzu, et al.
Published: (2023)

SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models
by: Lv, Weijiang, et al.
Published: (2026)

Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models
by: Yang, Chenxu, et al.
Published: (2025)