activity
20232026
most citedMMTEB: Massive Multilingual Text Embedding Benchmark

15 citations · 41 across the 13 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CL2025

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search

Howard Yen, Yoonsang Lee, Ashwin Paranjape +5

Long-horizon agentic search requires iteratively exploring the web over long trajectories and synthesizing information across many sources, enabling powerful applications like deep…

cs.CL2025

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking

Wuwei Zhang, Fangcong Yin, Howard Yen +2

Recent work has identified retrieval heads, a subset of attention heads responsible for retrieving salient information in long-context language models (LMs), as measured by their c…

cs.CL2025

Precise Information Control in Long-Form Text Generation

Jacqueline He, Howard Yen, Margaret Li +7

A central challenge in language models (LMs) is faithfulness hallucination: the generation of information unsubstantiated by input context. To study this problem, we propose Precis…

cs.CL2025★ 15 cited

MMTEB: Massive Multilingual Text Embedding Benchmark

Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83

Text embeddings are typically evaluated on a limited set of tasks, which are constrained by language, domain, and task diversity. To address these limitations and provide a more co…

cs.CL2025★ 1 cited

LongProc: Benchmarking Long-Context Language Models on Long Procedural Generation

Xi Ye, Fangcong Yin, Yinghui He +5

Existing benchmarks for evaluating long-context language models (LCLMs) primarily focus on long-context recall, requiring models to produce short responses based on a few critical…