Cover Image

Representing Rule-based Chatbots with Transformers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Friedman, Dan, Panigrahi, Abhishek, Chen, Danqi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Extracting Rule-based Descriptions of Attention Features in Transformers
by: Friedman, Dan, et al.
Published: (2025)

The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models
by: Bhaskar, Adithya, et al.
Published: (2024)

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
by: Xia, Mengzhou, et al.
Published: (2023)

RuleR: Improving LLM Controllability by Rule-based Data Recycling
by: Li, Ming, et al.
Published: (2024)

CoLa: Learning to Interactively Collaborate with Large Language Models
by: Sharma, Abhishek, et al.
Published: (2025)

Can LLMs Follow Simple Rules?
by: Mu, Norman, et al.
Published: (2023)

LESS: Selecting Influential Data for Targeted Instruction Tuning
by: Xia, Mengzhou, et al.
Published: (2024)

Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models
by: Kumar, Abhishek, et al.
Published: (2024)

RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling
by: Liu, Yang, et al.
Published: (2025)

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
by: Razin, Noam, et al.
Published: (2024)

AutoRule: Reasoning Chain-of-thought Extracted Rule-based Rewards Improve Preference Learning
by: Wang, Tevin, et al.
Published: (2025)

ChaI-TeA: A Benchmark for Evaluating Autocompletion of Interactions with LLM-based Chatbots
by: Goren, Shani, et al.
Published: (2024)

Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena
by: Luo, Haipeng, et al.
Published: (2024)

Language Models Represent Space and Time
by: Gurnee, Wes, et al.
Published: (2023)

Selection of LLM Fine-Tuning Data based on Orthogonal Rules
by: Li, Xiaomin, et al.
Published: (2024)

From Exact Hits to Close Enough: Semantic Caching for LLM Embeddings
by: Biton, Dvir David, et al.
Published: (2026)

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
by: Herlihy, Christine, et al.
Published: (2024)

Rule by Rule: Learning with Confidence through Vocabulary Expansion
by: Nössig, Albert, et al.
Published: (2024)

Transformers Can Represent $n$-gram Language Models
by: Svete, Anej, et al.
Published: (2024)

Reliable, Adaptable, and Attributable Language Models with Retrieval
by: Asai, Akari, et al.
Published: (2024)

Effective Structured Prompting by Meta-Learning and Representative Verbalizer
by: Jiang, Weisen, et al.
Published: (2023)

Knowledge Graph Embeddings with Representing Relations as Annular Sectors
by: Zhu, Huiling, et al.
Published: (2025)

Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)

Interpretability Illusions in the Generalization of Simplified Models
by: Friedman, Dan, et al.
Published: (2023)

From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
by: Huang, Yuzhen, et al.
Published: (2025)

Deep Learning Based Amharic Chatbot for FAQs in Universities
by: Hailu, Goitom Ybrah, et al.
Published: (2024)

Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts
by: Jinnai, Yuu, et al.
Published: (2024)

Learning Mathematical Rules with Large Language Models
by: Gorceix, Antoine, et al.
Published: (2024)

Trainable Transformer in Transformer
by: Panigrahi, Abhishek, et al.
Published: (2023)

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
by: Divekar, Abhishek, et al.
Published: (2024)

PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
by: Divekar, Abhishek, et al.
Published: (2026)

Language Agents as Digital Representatives in Collective Decision-Making
by: Jarrett, Daniel, et al.
Published: (2025)

Compression Represents Intelligence Linearly
by: Huang, Yuzhen, et al.
Published: (2024)

Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top
by: Cheng, Keyuan, et al.
Published: (2024)

Comparing Feature Importance and Rule Extraction for Interpretability on Text Data
by: Lopardo, Gianluigi, et al.
Published: (2022)

Latent Concept Disentanglement in Transformer-based Language Models
by: Hong, Guan Zhe, et al.
Published: (2025)

Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
by: Simmons, Gabriel, et al.
Published: (2024)

Automated Extraction of Material Properties using LLM-based AI Agents
by: Ghosh, Subham, et al.
Published: (2025)

SEE: Sememe Entanglement Encoding for Transformer-bases Models Compression
by: Zhang, Jing, et al.
Published: (2024)

GPG: Generalized Policy Gradient Theorem for Transformer-based Policies
by: Mao, Hangyu, et al.
Published: (2025)