Cover Image

CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Albert Yu, Nair, Varun, Schumacher, Elliot, Kannan, Anitha
Format:	Preprint
Published:	2023
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

Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson's Disease
by: Schumacher, Elliot, et al.
Published: (2025)

Extrinsically-Focused Evaluation of Omissions in Medical Summarization
by: Schumacher, Elliot, et al.
Published: (2023)

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
by: Phan, Phuc, et al.
Published: (2024)

Evolutionary Contrastive Distillation for Language Model Alignment
by: Katz-Samuels, Julian, et al.
Published: (2024)

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
by: Ko, Jongwoo, et al.
Published: (2025)

Language-Guided World Models: A Model-Based Approach to AI Control
by: Zhang, Alex, et al.
Published: (2024)

Jill Watson: A Virtual Teaching Assistant powered by ChatGPT
by: Taneja, Karan, et al.
Published: (2024)

Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing
by: Neill, James O', et al.
Published: (2025)

Noise Injection Systemically Degrades Large Language Model Safety Guardrails
by: Shahani, Prithviraj Singh, et al.
Published: (2025)

Why Do Safety Guardrails Degrade Across Languages?
by: Zhang, Max, et al.
Published: (2026)

SafePred: A Predictive Guardrail for Computer-Using Agents via World Models
by: Chen, Yurun, et al.
Published: (2026)

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
by: Huang, Yue, et al.
Published: (2025)

LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models
by: Elesedy, Hayder, et al.
Published: (2024)

UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models
by: Oh, Sejoon, et al.
Published: (2024)

Identifying Features Associated with Bias Against 93 Stigmatized Groups in Language Models and Guardrail Model Safety Mitigation
by: Gueorguieva, Anna-Maria, et al.
Published: (2025)

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
by: Yuan, Zhuowen, et al.
Published: (2024)

BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
by: Mazza, Arnon, et al.
Published: (2026)

Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training
by: Ilin, Aleksei, et al.
Published: (2025)

Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment
by: Krishna, Kundan, et al.
Published: (2025)

LLM Pruning and Distillation in Practice: The Minitron Approach
by: Sreenivas, Sharath Turuvekere, et al.
Published: (2024)

CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
by: Li, Xiaoya, et al.
Published: (2025)

Evaluating Large Language Models Using Contrast Sets: An Experimental Approach
by: Sanwal, Manish
Published: (2024)

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
by: Che, Xinyu, et al.
Published: (2026)

Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation
by: Padarha, Shreyansh
Published: (2025)

Large Continual Instruction Assistant
by: Qiao, Jingyang, et al.
Published: (2024)

Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
by: Adiga, Rishabh, et al.
Published: (2024)

Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation
by: Huang, Tiansheng, et al.
Published: (2025)

Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
by: Yu, Fengming, et al.
Published: (2025)

Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant
by: Järviniemi, Olli, et al.
Published: (2024)

ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models
by: Thonet, Thibaut, et al.
Published: (2024)

LLMs Meet Finance: Fine-Tuning Foundation Models for the Open FinLLM Leaderboard
by: Rao, Varun, et al.
Published: (2025)

ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails
by: Wen, Xiaofei, et al.
Published: (2025)

AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)

DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation
by: Fang, Jingzhi, et al.
Published: (2026)

On Teacher Hacking in Language Model Distillation
by: Tiapkin, Daniil, et al.
Published: (2025)

Self-Distillation for Multi-Token Prediction
by: Zhao, Guoliang, et al.
Published: (2026)

A Comment On "The Illusion of Thinking": Reframing the Reasoning Cliff as an Agentic Gap
by: Khan, Sheraz, et al.
Published: (2025)

Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
by: Liu, Max, et al.
Published: (2024)

LLaSA: Large Language and Structured Data Assistant
by: Xu, Yao, et al.
Published: (2024)

Needle in the Haystack for Memory Based Large Language Models
by: Nelson, Elliot, et al.
Published: (2024)