forum id stringlengths 10 10 | title stringlengths 21 154 | scores sequencelengths 3 8 | text stringlengths 48.3k 238k |
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MKEHCx25xp | WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild | [
8,
6,
8
] | Published as a conference paper at ICLR 2025
WILDBENCH: BENCHMARKING LLMS WITH
CHALLENGING TASKS FROM REAL USERS IN THE WILD
Bill Yuchen Lin♡♢
Yuntian Deng♡ Khyathi Chandu♡ Faeze Brahman♡ Abhilasha Ravichander♡
Valentina Pyatkin♡ Nouha Dziri♡ Ronan Le Bras♡ Yejin Choi♡♢
♡Allen Institute for AI
♢University of Washin... |
lgsyLSsDRe | NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models | [
8,
8,
6,
8
] | Published as a conference paper at ICLR 2025
NV-EMBED: IMPROVED TECHNIQUES FOR TRAINING
LLMS AS GENERALIST EMBEDDING MODELS
Chankyu Lee ∗ 1
Rajarshi Roy 1
Mengyao Xu 1
Jonathan Raiman 1
Mohammad Shoeybi 1
Bryan Catanzaro 1
Wei Ping ∗ 1
NVIDIA
ABSTRACT
Decoder-only large language model (LLM)-based embedding m... |
et5l9qPUhm | Strong Model Collapse | [
8,
8,
8
] | "Published as a conference paper at ICLR 2025\n\nSTRONG MODEL COLLAPSE\n\nElvis Dohmatob1,2,3, Yunzh(...TRUNCATED) |
8m7p4k6Zeb | "From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning o(...TRUNCATED) | [
6,
6,
6
] | "Published as a conference paper at ICLR 2025\n\nFROM ARTIFICIAL NEEDLES TO REAL HAYSTACKS: IM-\nPRO(...TRUNCATED) |
hTphfqtafO | Large Language Models are Interpretable Learners | [
5,
6,
8
] | "Published as a conference paper at ICLR 2025\n\nLARGE LANGUAGE MODELS ARE INTERPRETABLE\nLEARNERS\n(...TRUNCATED) |
kxnoqaisCT | Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents | [
8,
8,
5,
10
] | "Published as a conference paper at ICLR 2025\n\nNavigating the Digital World as Humans Do:\nUNIVERS(...TRUNCATED) |
590yfqz1LE | Measuring Non-Adversarial Reproduction of Training Data in Large Language Models | [
6,
5,
8,
8,
8,
6,
5,
8
] | "Published as a conference paper at ICLR 2025\n\nMEASURING NON-ADVERSARIAL REPRODUCTION\nOF TRAINING(...TRUNCATED) |
FpiCLJrSW8 | More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness | [
8,
8,
6,
6
] | "Published as a conference paper at ICLR 2025\n\nMORE RLHF, MORE TRUST? ON THE IMPACT OF PREF-\nEREN(...TRUNCATED) |
AqfUa08PCH | Training Language Models on Synthetic Edit Sequences Improves Code Synthesis | [
6,
8,
6,
6
] | "Published as a conference paper at ICLR 2025\n\nTRAINING LANGUAGE MODELS ON SYNTHETIC\nEDIT SEQUENC(...TRUNCATED) |
vhPE3PtTgC | SWEb: A Large Web Dataset for the Scandinavian Languages | [
8,
6,
6,
5
] | "Published as a conference paper at ICLR 2025\n\nSWEB: A LARGE WEB DATASET FOR THE\nSCANDINAVIAN LAN(...TRUNCATED) |
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