Yale NLP Lab

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ChuhanLi 

updated a dataset about 13 hours ago

yale-nlp/M3SciQA

Viewer • Updated about 13 hours ago • 1.45k • 101 • 5

pybeebee 

updated a collection 23 days ago

MDCure

Collection

Models and datasets for our work "MDCure: A Scalable Pipeline for Multi-Document Instruction-Following" (https://arxiv.org/abs/2410.23463) • 11 items • Updated 22 days ago • 4

shrutisingh 

updated a dataset 28 days ago

yale-nlp/SciDQA

Viewer • Updated 28 days ago • 2.94k • 148 • 1

yilunzhao 

authored 13 papers about 1 month ago

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization

Paper • 2311.09184 • Published Nov 15, 2023 • 1

Investigating Data Contamination in Modern Benchmarks for Large Language Models

Paper • 2311.09783 • Published Nov 16, 2023 • 2

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Paper • 2311.10537 • Published Nov 16, 2023 • 3

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science

Paper • 2402.04247 • Published Feb 6, 2024 • 1

Evaluating LLMs at Detecting Errors in LLM Responses

Paper • 2404.03602 • Published Apr 4, 2024 • 2

FOLIO: Natural Language Reasoning with First-Order Logic

Paper • 2209.00840 • Published Sep 2, 2022

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples

Paper • 2210.12374 • Published Oct 22, 2022

Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies

Paper • 2305.12586 • Published May 21, 2023

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 54

Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation

Paper • 2212.07981 • Published Dec 15, 2022

ReIFE: Re-evaluating Instruction-Following Evaluation

Paper • 2410.07069 • Published Oct 9, 2024

TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Paper • 2410.23266 • Published Oct 30, 2024 • 20

M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 16

pybeebee 

updated a model about 2 months ago

yale-nlp/MDCureRM

Updated Nov 22, 2024 • 128 • 3

pybeebee 

in yale-nlp/MDCureRM about 2 months ago

KeyError: 'RewardModel'

2

#1 opened about 2 months ago by

ragesh-beo

ChuhanLi 

authored a paper about 2 months ago

M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 16

ziyaosg 

authored a paper about 2 months ago

M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 16