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Showing 301–340 of 340 papers

TitleStatusHype
LAG-MMLU: Benchmarking Frontier LLM Understanding in Latvian and Giriama—0
Language Complexity Measurement as a Noisy Zero-Shot Proxy for Evaluating LLM Performance—0
Large Language Models Could Be Rote Learners—0
Large Language Models Often Know When They Are Being Evaluated—0
Learning from "Silly" Questions Improves Large Language Models, But Only Slightly—0
Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning—0
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning—0
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation—0
Leveraging Uncertainty Estimation for Efficient LLM Routing—0
Lizard: An Efficient Linearization Framework for Large Language Models—0
Llama 3 Meets MoE: Efficient Upcycling—0
LLaMA Beyond English: An Empirical Study on Language Capability Transfer—0
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction—0
Large Language Model Compression with Neural Architecture Search—0
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering—0
LLMs Outperform Experts on Challenging Biology Benchmarks—0
LM-Cocktail: Resilient Tuning of Language Models via Model Merging—0
LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception—0
An Empirical Study of Mamba-based Language Models—0
Measuring Hong Kong Massive Multi-Task Language Understanding—0
Measuring Progress on Scalable Oversight for Large Language Models—0
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients—0
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs—0
Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning—0
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures—0
MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design—0
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference—0
Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents—0
An Assessment of Model-On-Model Deception—0
Automatic Robustness Stress Testing of LLMs as Mathematical Problem Solvers—0
Model Unlearning via Sparse Autoencoder Subspace Guided Projections—0
MoE-GPS: Guidlines for Prediction Strategy for Dynamic Expert Duplication in MoE Load Balancing—0
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs—0
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment—0
Multi-lingual Functional Evaluation for Large Language Models—0
Nanoscaling Floating-Point (NxFP): NanoMantissa, Adaptive Microexponents, and Code Recycling for Direct-Cast Compression of Large Language Models—0
Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset—0
Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design—0
None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering—0
None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks—0
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All datasetsSIOP 2020/2021MMLU-ProVCTK

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1go ahead, make my dataFinal_score61.72—Unverified
2#GreedyCowFinal_score61.63—Unverified
3Don't Ask Us yFinal_score61.4—Unverified
4Data_and_ConfusedFinal_score60.96—Unverified
5WafflesFinal_score60.91—Unverified
6raakaFinal_score60.91—Unverified
7Team ProcrustinationFinal_score60.64—Unverified
8Axiom Consulting PartnersFinal_score60.63—Unverified
9Lets_Be_FairFinal_score60.23—Unverified
10goonersFinal_score60.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Orange-mini0-shot MRR99.19—Unverified
#ModelMetricClaimedVerifiedStatus
1HybridBeam+SI-SDRi13.3—Unverified