2 citations · 2 across the 7 of their papers we have counts for
7 papers
Can Small Agents Collaborate to Beat a Single Large Language Model?
Agata Żywot, Xinyi Chen, Yifei Yuan +2
Recent progress in language modeling has largely relied on scaling model size, yet larger models do not reliably improve performance on tasks requiring multi-step reasoning and too…
EvalCards: A Framework for Standardized Evaluation Reporting
Ruchira Dhar, Danae Sanchez Villegas, Antonia Karamolegkou +11
Evaluation reports guide the use of general-purpose AI (GPAI) models, yet inconsistent reporting often leaves essential questions unanswered. Through a review of prior work, we ide…
LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generation
Gregory Hok Tjoan Go, Khang Ly, Anders Søgaard +3
The rapid growth of scientific publications has made it increasingly difficult to keep literature reviews comprehensive and up-to-date. Though prior work has focused on automating…
What if Othello-Playing Language Models Could See?
Xinyi Chen, Yifei Yuan, Jiaang Li +3
Language models are often said to face a symbol grounding problem. While some have argued the problem can be solved without resort to other modalities, many have speculated that gr…
Lost at the Beginning of Reasoning
Baohao Liao, Xinyi Chen, Sara Rajaee +5
Recent advancements in large language models (LLMs) have significantly advanced complex reasoning capabilities, particularly through extended chain-of-thought (CoT) reasoning that…
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
Xinyi Chen, Baohao Liao, Jirui Qi +4
Following multiple instructions is a crucial ability for large language models (LLMs). Evaluating this ability comes with significant challenges: (i) limited coherence between mult…
The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models
Xinyi Chen, Raquel Fernández, Sandro Pezzelle
Despite the impressive performance achieved by pre-trained language-and-vision models in downstream tasks, it remains an open question whether this reflects a proper understanding…