:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Bohan, Wang, Yixin, Dhillon, Paramveer S.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2502.17538
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causal Inference for Human-Language Model Collaboration
by: Zhang, Bohan, et al.
Published: (2024)

Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Books
by: Chakrabarty, Tuhin, et al.
Published: (2026)

Who Owns the Text? Design Patterns for Preserving Authorship in AI-Assisted Writing
by: Zhang, Bohan, et al.
Published: (2026)

Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writers
by: Chakrabarty, Tuhin, et al.
Published: (2025)

Dual Debiasing for Noisy In-Context Learning for Text Generation
by: Liang, Siqi, et al.
Published: (2025)

Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models
by: Dhillon, Paramveer S., et al.
Published: (2024)

Characterizing the Structure of Online Conversations Across Reddit
by: Yu, Yulin, et al.
Published: (2022)

Recommendation and Temptation
by: Anwar, Md Sanzeed, et al.
Published: (2024)

Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
by: Hong, Joey, et al.
Published: (2025)

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns
by: Anwar, Md Sanzeed, et al.
Published: (2024)

Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
by: Chen, Meiqi, et al.
Published: (2024)

Signals in the Noise: Decoding Unexpected Engagement Patterns on Twitter
by: Yu, Yulin, et al.
Published: (2025)

Learning to Ponder: Adaptive Reasoning in Latent Space
by: He, Yixin, et al.
Published: (2025)

Learning Agentic Policy from Action Guidance
by: Ji, Yuxiang, et al.
Published: (2026)

Isolated Causal Effects of Natural Language
by: Lin, Victoria, et al.
Published: (2024)

Causality for Natural Language Processing
by: Jin, Zhijing
Published: (2025)

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models
by: Liu, Yachuan, et al.
Published: (2025)

From Planning to Revision: How AI Writing Support at Different Stages Alters Ownership
by: Gero, Katy Ilonka, et al.
Published: (2026)

LLMs Are Prone to Fallacies in Causal Inference
by: Joshi, Nitish, et al.
Published: (2024)

Predictability and Causality in Spanish and English Natural Language Generation
by: Busto-Castiñeira, Andrea, et al.
Published: (2024)

Natural Language Processing of Privacy Policies: A Survey
by: Adhikari, Andrick, et al.
Published: (2025)

Off-Policy Value-Based Reinforcement Learning for Large Language Models
by: Wang, Peng-Yuan, et al.
Published: (2026)

Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
by: Joshi, Aditya, et al.
Published: (2024)

Natural Language Tools: A Natural Language Approach to Tool Calling In Large Language Agents
by: Johnson, Reid T., et al.
Published: (2025)

Joint Action Language Modelling for Transparent Policy Execution
by: Wulff, Theodor, et al.
Published: (2025)

SRPO: Self-Referential Policy Optimization for Vision-Language-Action Models
by: Fei, Senyu, et al.
Published: (2025)

UniCode: Learning a Unified Codebook for Multimodal Large Language Models
by: Zheng, Sipeng, et al.
Published: (2024)

Causal Reasoning in Large Language Models: A Knowledge Graph Approach
by: Kim, Yejin, et al.
Published: (2024)

Policy Compliance of User Requests in Natural Language for AI Systems
by: Cisneros-Velarde, Pedro
Published: (2026)

GAPD: Gold-Action Policy Distillation for Agentic Reinforcement Learning in Knowledge Base Question Answering
by: Sun, Xin, et al.
Published: (2026)

Causally-Enhanced Reinforcement Policy Optimization
by: Wang, Xiangqi, et al.
Published: (2025)

Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processing
by: Panchendrarajan, Rrubaa, et al.
Published: (2024)

Understanding Reference Policies in Direct Preference Optimization
by: Liu, Yixin, et al.
Published: (2024)

Com$^2$: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
by: Xiong, Kai, et al.
Published: (2025)

Are Large Vision Language Models Good Game Players?
by: Wang, Xinyu, et al.
Published: (2025)

A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery
by: Sng, Grace, et al.
Published: (2024)

DynHD: Hallucination Detection for Diffusion Large Language Models via Denoising Dynamics Deviation Learning
by: Qian, Yanyu, et al.
Published: (2026)

Automatic Extraction of Relationships among Motivations, Emotions and Actions from Natural Language Texts
by: Yang, Fei
Published: (2024)

Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence
by: Jeong, Ujun, et al.
Published: (2026)

From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
by: Wibisono, Kevin Christian, et al.
Published: (2024)