Copertina

Winning Amazon KDD Cup'24

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Deotte, Chris, Sorokin, Ivan, Erdem, Ahmet, Schifferer, Benedikt, Titericz Jr, Gilberto, Jegou, Simon
Natura:	Preprint
Pubblicazione:	2024
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

AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
di: Moshkov, Ivan, et al.
Pubblicazione: (2025)

DB3 Team's Solution For Meta KDD Cup' 25
di: Xia, Yikuan, et al.
Pubblicazione: (2025)

KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
di: Jegou, Simon, et al.
Pubblicazione: (2026)

Neutral Residues: Revisiting Adapters for Model Extension
di: Talla, Franck Signe, et al.
Pubblicazione: (2024)

Revisiting the Solution of Meta KDD Cup 2024: CRAG
di: Ouyang, Jie, et al.
Pubblicazione: (2024)

Mini-Giants: "Small" Language Models and Open Source Win-Win
di: Zhou, Zhengping, et al.
Pubblicazione: (2023)

In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss
di: Kuratov, Yuri, et al.
Pubblicazione: (2024)

Judge's Verdict: A Comprehensive Analysis of LLM Judge Capability Through Human Agreement
di: Han, Steve, et al.
Pubblicazione: (2025)

ToolACE: Winning the Points of LLM Function Calling
di: Liu, Weiwen, et al.
Pubblicazione: (2024)

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
di: Xu, Jing, et al.
Pubblicazione: (2024)

When Two LLMs Debate, Both Think They'll Win
di: Prasad, Pradyumna Shyama, et al.
Pubblicazione: (2025)

When Shallow Wins: Silent Failures and the Depth-Accuracy Paradox in Latent Reasoning
di: Sahoo, Subramanyam, et al.
Pubblicazione: (2026)

When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training
di: Chen, Sanxing, et al.
Pubblicazione: (2025)

Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare
di: Acikgoz, Emre Can, et al.
Pubblicazione: (2024)

Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in Product QA Agents
di: Lewis, Ashley, et al.
Pubblicazione: (2025)

Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models
di: Giebisch, Rafael, et al.
Pubblicazione: (2025)

MediaMind: Revolutionizing Media Monitoring using Agentification
di: Gunduz, Ahmet, et al.
Pubblicazione: (2025)

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
di: Husom, Erik Johannes, et al.
Pubblicazione: (2025)

Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven
di: Hildebrandt, Niclas, et al.
Pubblicazione: (2021)

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
di: Zheng, Xiaosen, et al.
Pubblicazione: (2024)

Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts
di: Gritsch, Nikolas, et al.
Pubblicazione: (2024)

Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution
di: Devoto, Alessio, et al.
Pubblicazione: (2025)

On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
di: Wang, Ziyu, et al.
Pubblicazione: (2024)

MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
di: Köksal, Abdullatif, et al.
Pubblicazione: (2024)

RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs
di: Dang, John, et al.
Pubblicazione: (2024)

Parameter Efficient Fine-tuning via Explained Variance Adaptation
di: Paischer, Fabian, et al.
Pubblicazione: (2024)

Towards Efficient Neurally-Guided Program Induction for ARC-AGI
di: Ouellette, Simon
Pubblicazione: (2024)

Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction
di: Sainsbury, Chris, et al.
Pubblicazione: (2026)

Essential-Web v1.0: 24T tokens of organized web data
di: AI, Essential, et al.
Pubblicazione: (2025)

Reference-less Analysis of Context Specificity in Translation with Personalised Language Models
di: Vincent, Sebastian, et al.
Pubblicazione: (2023)

Observational Scaling Laws and the Predictability of Language Model Performance
di: Ruan, Yangjun, et al.
Pubblicazione: (2024)

Large Language Models Are Overparameterized Text Encoders
di: K, Thennal D, et al.
Pubblicazione: (2024)

GLiREL -- Generalist Model for Zero-Shot Relation Extraction
di: Boylan, Jack, et al.
Pubblicazione: (2025)

Hidden State Poisoning Attacks against Mamba-based Language Models
di: Mercier, Alexandre Le, et al.
Pubblicazione: (2026)

What's New in My Data? Novelty Exploration via Contrastive Generation
di: Isonuma, Masaru, et al.
Pubblicazione: (2024)

On the Spatial Structure of Mixture-of-Experts in Transformers
di: Bershatsky, Daniel, et al.
Pubblicazione: (2025)

Exploring the Hidden Capacity of LLMs for One-Step Text Generation
di: Mezentsev, Gleb, et al.
Pubblicazione: (2025)

Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Training
di: Kesgin, H. Toprak, et al.
Pubblicazione: (2024)

Discovering Forbidden Topics in Language Models
di: Rager, Can, et al.
Pubblicazione: (2025)

LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations
di: Lugoloobi, William, et al.
Pubblicazione: (2026)