activity
20132026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 1.2k across the 68 of their papers we have counts for

collaborators
Showing cs.AIShow all

7 papers · 1 filter

cs.AI2026

How to Interpret Agent Behavior

Jie Gao, Kaiser Sun, Jen-tse Huang +8

Autonomous agents such as Claude Code and Codex now operate for hours or even days. Understanding their runtime behavior has become critical for downstream tasks such as diagnosing…

cs.AI2024★ 1 cited

Tur[k]ingBench: A Challenge Benchmark for Web Agents

Kevin Xu, Yeganeh Kordi, Tanay Nayak +7

Can advanced multi-modal models effectively tackle complex web-based tasks? Such tasks are often found on crowdsourcing platforms, where crowdworkers engage in challenging micro-ta…

cs.AI2023

GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution

Yining Lu, Haoping Yu, Daniel Khashabi

Augmenting large language models (LLM) to use external tools enhances their performance across a variety of tasks. However, prior works over-rely on task-specific demonstration of…

cs.AI2020★ 4 cited

TransOMCS: From Linguistic Graphs to Commonsense Knowledge

Hongming Zhang, Daniel Khashabi, Yangqiu Song +1

Commonsense knowledge acquisition is a key problem for artificial intelligence. Conventional methods of acquiring commonsense knowledge generally require laborious and costly human…

cs.AI2017★ 2 cited

Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks

Parisa Kordjamshidi, Sameer Singh, Daniel Khashabi +4

Many real world systems need to operate on heterogeneous information networks that consist of numerous interacting components of different types. Examples include systems that perf…

cs.AI2016★ 82 cited

Question Answering via Integer Programming over Semi-Structured Knowledge

Daniel Khashabi, Tushar Khot, Ashish Sabharwal +3

Answering science questions posed in natural language is an important AI challenge. Answering such questions often requires non-trivial inference and knowledge that goes beyond fac…

cs.AI2013

Generating Motion Patterns Using Evolutionary Computation in Digital Soccer

Masoud Amoozgar, Daniel Khashabi, Milad Heydarian +2

Dribbling an opponent player in digital soccer environment is an important practical problem in motion planning. It has special complexities which can be generalized to most import…