:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Zhang, Zheyuan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2410.18806
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emergent Communication Pretraining for Few-Shot Machine Translation
by: Li, Yaoyiran, et al.
Published: (2020)

Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
by: Cope, Dylan, et al.
Published: (2024)

Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization
by: Zhang, Zheyuan, et al.
Published: (2026)

It's About Time: Temporal References in Emergent Communication
by: Lipinski, Olaf, et al.
Published: (2023)

Predicting Emergent Capabilities by Finetuning
by: Snell, Charlie, et al.
Published: (2024)

Emergent Response Planning in LLMs
by: Dong, Zhichen, et al.
Published: (2025)

Script Gap: Evaluating LLM Triage on Indian Languages in Native vs Romanized Scripts in a Real World Setting
by: Khullar, Manurag, et al.
Published: (2025)

Machine Unlearning in Generative AI: A Survey
by: Liu, Zheyuan, et al.
Published: (2024)

Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024)

A Minimum Description Length Approach to Regularization in Neural Networks
by: Abudy, Matan, et al.
Published: (2025)

Emergent Abilities in Reduced-Scale Generative Language Models
by: Muckatira, Sherin, et al.
Published: (2024)

The Consciousness Cluster: Emergent preferences of Models that Claim to be Conscious
by: Chua, James, et al.
Published: (2026)

Emergent Stack Representations in Modeling Counter Languages Using Transformers
by: Tiwari, Utkarsh, et al.
Published: (2025)

Graph Neural Network Approach to Semantic Type Detection in Tables
by: Hoseinzade, Ehsan, et al.
Published: (2024)

Emergent Abilities in Large Language Models: A Survey
by: Berti, Leonardo, et al.
Published: (2025)

Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
by: Esencan, Mert, et al.
Published: (2024)

Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models
by: Karvonen, Adam
Published: (2024)

Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing
by: Baghel, Bhiman Kumar, et al.
Published: (2025)

Robustness as an Emergent Property of Task Performance
by: Ashury-Tahan, Shir, et al.
Published: (2026)

Explaining Length Bias in LLM-Based Preference Evaluations
by: Hu, Zhengyu, et al.
Published: (2024)

HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
by: Chen, Hongzheng, et al.
Published: (2025)

Benchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes
by: Odeyemi, Jethro, et al.
Published: (2025)

Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment
by: Vaugrante, Laurène, et al.
Published: (2026)

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models
by: Sawmya, Shashata, et al.
Published: (2025)

Emergent Representations of Program Semantics in Language Models Trained on Programs
by: Jin, Charles, et al.
Published: (2023)

Emergent Semantic Role Understanding in Language Models
by: Griffiths, Carla, et al.
Published: (2026)

Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
by: Shao, Shuai, et al.
Published: (2025)

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach
by: Dong, Shouyang, et al.
Published: (2025)

Thought Crime: Backdoors and Emergent Misalignment in Reasoning Models
by: Chua, James, et al.
Published: (2025)

CoNCRA: A Convolutional Neural Network Code Retrieval Approach
by: Martins, Marcelo de Rezende, et al.
Published: (2020)

Understanding Emergent Abilities of Language Models from the Loss Perspective
by: Du, Zhengxiao, et al.
Published: (2024)

Emergent and Subliminal Misalignment Through the Lens of Data-Mediated Transfer
by: Askin, Baris, et al.
Published: (2026)

Evaluating Negative Sampling Approaches for Neural Topic Models
by: Adhya, Suman, et al.
Published: (2025)

Understanding Emergent In-Context Learning from a Kernel Regression Perspective
by: Han, Chi, et al.
Published: (2023)

Uncovering Emergent Physics Representations Learned In-Context by Large Language Models
by: Song, Yeongwoo, et al.
Published: (2025)

Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models
by: Liang, Kaiqu, et al.
Published: (2025)

The Devil in the Details: Emergent Misalignment, Format and Coherence in Open-Weights LLMs
by: Dickson, Craig
Published: (2025)

Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
by: Li, Dongyue, et al.
Published: (2024)

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
by: Gu, Jianyang, et al.
Published: (2025)