:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Changmao, Flanigan, Jeffrey
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning I.2.7
Online Access:	https://arxiv.org/abs/2410.15667
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Future Language Modeling from Temporal Document History
by: Li, Changmao, et al.
Published: (2024)

Task Contamination: Language Models May Not Be Few-Shot Anymore
by: Li, Changmao, et al.
Published: (2023)

ObfusQAte: A Proposed Framework to Evaluate LLM Robustness on Obfuscated Factual Question Answering
by: Ghosh, Shubhra, et al.
Published: (2025)

LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
by: Bishop, Jennifer A, et al.
Published: (2023)

Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)

PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
by: Lee, Myeonghwa, et al.
Published: (2024)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
by: Codefuse, et al.
Published: (2025)

Self-Consistency from Only Two Samples: CoT-PoT Ensembling for Efficient LLM Reasoning
by: Saparkhan, Raman, et al.
Published: (2026)

HAMMER: Hamiltonian Curiosity Augmented Large Language Model Reinforcement
by: Yang, Ming, et al.
Published: (2025)

Enhancing In-Context Learning via Implicit Demonstration Augmentation
by: Zhou, Xiaoling, et al.
Published: (2024)

CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge
by: Chen, Zhangquan, et al.
Published: (2024)

Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths
by: Fu, Tianyu, et al.
Published: (2024)

SocraSynth: Multi-LLM Reasoning with Conditional Statistics
by: Chang, Edward Y.
Published: (2024)

RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval
by: Whitecross, Kyle, et al.
Published: (2026)

Robust Explanations for User Trust in Enterprise NLP Systems
by: Zhang, Guilin, et al.
Published: (2026)

Hista and Numca: Estimate State Value Effectively for LLM Reinforcement Learning
by: Chen, Zizhe, et al.
Published: (2026)

Harmful Intent as a Geometrically Recoverable Feature of LLM Residual Streams
by: Llorente-Saguer, Isaac
Published: (2026)

PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation
by: Pulipaka, Srikar Kashyap
Published: (2026)

Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
by: Hong, Colin, et al.
Published: (2025)

AMEL: Accumulated Message Effects on LLM Judgments
by: Temkit, Sid-Ali
Published: (2026)

The Geometry of Harmful Intent: Training-Free Anomaly Detection via Angular Deviation in LLM Residual Streams
by: Llorente-Saguer, Isaac
Published: (2026)

Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning
by: Zhang, Zhaowei, et al.
Published: (2026)

How Many Parameters Does Your Task Really Need? Task Specific Pruning with LLM-Sieve
by: Reda, Waleed, et al.
Published: (2025)

TIAR: Trajectory-Informed Advantage Reweighting for LLM Abstention Learning
by: Pan, Muyu, et al.
Published: (2026)

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
by: Abramov, Roman, et al.
Published: (2025)

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
by: Saito, Kei
Published: (2026)

Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning
by: Xu, Shuyao, et al.
Published: (2025)

User Preference Modeling for Conversational LLM Agents: Weak Rewards from Retrieval-Augmented Interaction
by: Hao, Yuren, et al.
Published: (2026)

CorrSteer: Generation-Time LLM Steering via Correlated Sparse Autoencoder Features
by: Cho, Seonglae, et al.
Published: (2025)

The Instability of Safety: How Random Seeds and Temperature Expose Inconsistent LLM Refusal Behavior
by: Larsen, Erik
Published: (2025)

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes
by: Liu, Ming
Published: (2026)

Annif at the GermEval-2025 LLMs4Subjects Task: Traditional XMTC Augmented by Efficient LLMs
by: Suominen, Osma, et al.
Published: (2025)

Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive Data
by: de Campos, Andresa Rodrigues, et al.
Published: (2026)

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models
by: Yan, Qihang, et al.
Published: (2025)

A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam
by: Fernandes, Rean, et al.
Published: (2025)

Considering Length Diversity in Retrieval-Augmented Summarization
by: Juseon-Do, et al.
Published: (2025)