Copertina

IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kasnavieh, Hossein Hosseini, Haffari, Gholamreza, Leckie, Chris, Toosi, Adel N.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RouterWise: Joint Resource Allocation and Routing for Latency-Aware Multi-Model LLM Serving
di: Kasnavieh, Hossein Hosseini, et al.
Pubblicazione: (2026)

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
di: Liu, Akide, et al.
Pubblicazione: (2024)

Recursive Introspection: Teaching Language Model Agents How to Self-Improve
di: Qu, Yuxiao, et al.
Pubblicazione: (2024)

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues
di: Hua, Yuncheng, et al.
Pubblicazione: (2024)

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

CARE: Decoding Time Safety Alignment via Rollback and Introspection Intervention
di: Hu, Xiaomeng, et al.
Pubblicazione: (2025)

Zero-Overhead Introspection for Adaptive Test-Time Compute
di: Manvi, Rohin, et al.
Pubblicazione: (2025)

CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMs
di: Lv, Junlin, et al.
Pubblicazione: (2024)

Evidence-based Distributional Alignment for Large Language Models
di: Pham, Viet-Thanh, et al.
Pubblicazione: (2026)

Block-Attention for Efficient Prefilling
di: Ma, Dongyang, et al.
Pubblicazione: (2024)

Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
di: Zhao, Siyan, et al.
Pubblicazione: (2024)

Beyond Introspection: Reinforcing Thinking via Externalist Behavioral Feedback
di: Yang, Diji, et al.
Pubblicazione: (2024)

Identifying the Risks of LM Agents with an LM-Emulated Sandbox
di: Ruan, Yangjun, et al.
Pubblicazione: (2023)

Accelerating Prefilling for Long-Context LLMs via Sparse Pattern Sharing
di: Peng, Dan, et al.
Pubblicazione: (2025)

DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
di: Zhou, Ying, et al.
Pubblicazione: (2024)

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
di: Luo, Linhao, et al.
Pubblicazione: (2023)

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
di: Hua, Yuncheng, et al.
Pubblicazione: (2024)

SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation
di: Qiao, Aurick, et al.
Pubblicazione: (2024)

AIPO: Learning to Reason from Active Interaction
di: Liu, Junnan, et al.
Pubblicazione: (2026)

Language Models Fail to Introspect About Their Knowledge of Language
di: Song, Siyuan, et al.
Pubblicazione: (2025)

RIV: Recursive Introspection Mask Diffusion Vision Language Model
di: Li, YuQian, et al.
Pubblicazione: (2025)

Emergent Introspective Awareness in Large Language Models
di: Lindsey, Jack
Pubblicazione: (2026)

CodecLM: Aligning Language Models with Tailored Synthetic Data
di: Wang, Zifeng, et al.
Pubblicazione: (2024)

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

EvoLM: In Search of Lost Language Model Training Dynamics
di: Qi, Zhenting, et al.
Pubblicazione: (2025)

WavSLM: Single-Stream Speech Language Modeling via WavLM Distillation
di: Della Libera, Luca, et al.
Pubblicazione: (2026)

CataLM: Empowering Catalyst Design Through Large Language Models
di: Wang, Ludi, et al.
Pubblicazione: (2024)

MedLM: Exploring Language Models for Medical Question Answering Systems
di: Yagnik, Niraj, et al.
Pubblicazione: (2024)

Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
di: Liang, Kaiqu, et al.
Pubblicazione: (2024)

Exposing the Systematic Vulnerability of Open-Weight Models to Prefill Attacks
di: Struppek, Lukas, et al.
Pubblicazione: (2026)

SensorLM: Learning the Language of Wearable Sensors
di: Zhang, Yuwei, et al.
Pubblicazione: (2025)

Privileged Self-Access Matters for Introspection in AI
di: Song, Siyuan, et al.
Pubblicazione: (2025)

Prefill-Guided Thinking for zero-shot detection of AI-generated images
di: Kachwala, Zoher, et al.
Pubblicazione: (2025)

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
di: Hsu, I-Hung, et al.
Pubblicazione: (2024)

Does It Make Sense to Speak of Introspection in Large Language Models?
di: Comsa, Iulia M., et al.
Pubblicazione: (2025)

RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars
di: Hua, Yuncheng, et al.
Pubblicazione: (2025)

PreFT: Prefill-only finetuning for efficient inference
di: Lanpouthakoun, Andrew, et al.
Pubblicazione: (2026)

PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
di: Yi, Rongjie, et al.
Pubblicazione: (2024)

Representational Curvature Modulates Behavioral Uncertainty in Large Language Models
di: King, Jack, et al.
Pubblicazione: (2026)

Looking Inward: Language Models Can Learn About Themselves by Introspection
di: Binder, Felix J, et al.
Pubblicazione: (2024)