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From the 1 of 19 linked papers with an AI index.

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20242026
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cs.CL2026

Mergeable Model-Side Aggregation States for Long-Context Language Models

Dachuan Song, Junyu Yin, Zechen Hu +1

The paper proposes a model-side aggregation interface that uses compact HyperLogLog sketches to maintain set-based aggregation states alongside frozen language models, enabling acc…

cs.CL2026

EffGen: Enabling Small Language Models as Capable Autonomous Agents

Gaurav Srivastava, Aafiya Hussain, Chi Wang +2

Most existing language model agentic systems today are built and optimized for large language models (e.g., GPT, Claude, Gemini) via API calls; while powerful, this approach faces…

cs.CL2026

Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models

Gaurav Srivastava, Aafiya Hussain, Sriram Srinivasan +1

Large language models (LLMs) achieve impressive performance on complex mathematical benchmarks yet sometimes fail on basic math reasoning while generating unnecessarily verbose res…

cs.CL2025

LLM4Cell: A Survey of Large Language and Agentic Models for Single-Cell Biology

Sajib Acharjee Dip, Adrika Zafor, Bikash Kumar Paul +4

Large language models (LLMs) and emerging agentic frameworks are beginning to transform single-cell biology by enabling natural-language reasoning, generative annotation, and multi…

cs.CL2025

AMO-Bench: Large Language Models Still Struggle in High School Math Competitions

Shengnan An, Xunliang Cai, Xuezhi Cao +8

We present AMO-Bench, an Advanced Mathematical reasoning benchmark with Olympiad level or even higher difficulty, comprising 50 human-crafted problems. Existing benchmarks have wid…

cs.CL2025

DEBATE, TRAIN, EVOLVE: Self Evolution of Language Model Reasoning

Gaurav Srivastava, Zhenyu Bi, Meng Lu +1

Large language models (LLMs) have improved significantly in their reasoning through extensive training on massive datasets. However, relying solely on additional data for improveme…