LLMs
Latest breakthroughs in Large Language Models
Articles
PRO-Step: Step-level Process Reward Optimization for Retrieval⭐9
PRO-STEP: A novel framework optimizing step-level retrieval and reasoning in RAG via process reward models and preference optimization, improving accuracy acros...
EvalDetectBench: A Benchmark for Measuring Evaluation Awareness⭐8
EvalDetectBench measures evaluation awareness in frontier LLMs, offering a benchmark pipeline to detect when models recognize assessments and improve evaluation...
Behaviorally Grounded User Profiles from the Wild for⭐8
Study introduces behaviorally grounded user profiles from social media, improving LLM personalization and multi-perspective reasoning over synthetic baselines.
HyperWorld: Hypergraph-Structured State Serialization Improves⭐7
HyperWorld shows hypergraph-structured state serialization improves learned textual world models, boosting effect prediction and planning, especially in smaller...
DS-Lighting: Making Agent Harnesses Explicit for Data-Science⭐8
DS-Lighting introduces an explicit agent harness with reusable layers for data-science automation, improving reproducibility, comparability, and reliability acr...
NLP-Driven Knowledge Extraction and Thematic Classification of⭐9
NLP methods extract and classify medical knowledge from ancient Indian texts like Sushruta Samhita, using entity recognition and topic modeling.
Accelerating LLM Inference via Vector Index Based Output Embeddings⭐10
Vector index-based output embeddings accelerate LLM decoding by replacing dense projections with HNSW retrieval, boosting throughput up to 82% while preserving ...
Time Capsule of Testable Human Knowledge: 41 Years of Jeopardy!⭐9
A 9GB local AI model answers 67% of 529,939 Jeopardy! clues across 41 seasons, proving portable, free knowledge—outperforming IBM's 2011 Watson on post-training...
DeflectBench: A Benchmark for Evaluating Rhetorical Fallacy⭐9
Evaluate LLM rhetorical fallacy generation with DeflectBench: prompt framing drives refusal more than claim content, revealing critical safety vulnerabilities.
ElementCheck: Complexity-Aware Factuality Evaluation for Long⭐9
ElementCheck presents a complexity-aware framework for factuality evaluation in long-form text, using entity-pair element graphs to improve verification accurac...